miun.sePublications
Change search
Refine search result
12 1 - 50 of 84
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1. Amon, Benedict
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johannesson, Paul
    Munguanaze, Marcelo
    Njabili, Upendo
    Tesha, Rika Manka
    From First-Order Logic to Automated Word Generation for Lyee2003In: Knowledge-Based Systems, ISSN 0950-7051, Vol. 16, no 7/8, p. 249-262Article in journal (Refereed)
    Abstract [en]

    A conceptual schema can be viewed as a language to describe the phenomena in a system to be modelled, i.e. a set of derivation rules and integrity constraints as well as a set of event-rules describing the behaviour of an object system. In this paper, we investigate the relationship between the Lyee software requirements concepts with various constructs in conceptual modelling. Within our work we choose the Unified Modelling Language (UML) as a modelling notation for explaining conceptual models. The result obtained models a fully expressive set of UML and First Order Logic constructs mapped into Lyee concepts.

  • 2. Boeva, V
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    A Transition Logic for Schemata Conflicts2004In: Data & Knowledge Engineering, ISSN 0169-023X, Vol. 51, no 3, p. 277-294Article in journal (Refereed)
  • 3. Borking, Kjell
    et al.
    Danielson, Mats
    Stockholm university.
    Davies, Guy
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Idefeldt, Jim
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Transcending Business Intelligence2011 (ed. 1)Book (Other (popular science, discussion, etc.))
    Abstract [en]

    How on Earth did this happen? The question is not infrequent, but more to the point, it?s unnecessary. It arises because in many cases people haven?t thought things through beforehand. Yes, sometimes people can be unlucky, but far from every time that things go awry; bad luck is never so consistent - by definition. Thinking things through properly beforehand might seem a fairly obvious requirement for making a good decision, but startlingly often, even critical decisions are made without any in depth analysis. Well, there may have been some background data lying around somewhere, but not much is done with it. Though it's easy to blame authoritarian leadership or the like, poor decision making is far more usually due to not really knowing what to do with the available information, whether it's sufficient and what else needs to be known There?s nothing weird or idiotic about today?s decision makers, but there often is about the tools and methods available to them. It would be more accurate to say that many decision makers have been lead astray regarding their remit and capacity, but fortunately with structured decision processes they can be guided back on track far more easily than had they been as dim- witted as some of their decisions would indicate.Businesses introduce various BI solutions both timely and untimely, but what most of them don't have is any kind of methodology by which to deal with decisions. With no processes, knowledge, techniques or tools, they soon come to grief. Happily this is fairly easy to remedy.Decision processes and decision methods can be greatly improved. In this book we simply explain how to go about it.

  • 4. Borking, Kjell
    et al.
    Danielson, Mats
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Idefeldt, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Bortom Business Intelligence2009 (ed. 1)Book (Other academic)
  • 5. Brouwer, L
    et al.
    Danielsson, M
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Hansson, K
    Multi-criteria decision-making of policy strategies with public-private re-insurance systems2004In: Risk, decision and policy, ISSN 1357-5309, Vol. 9, no 1, p. 23-45Article in journal (Refereed)
  • 6. Candia, R
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Glimbert, L
    ICT for Academic Development in Sri Lanka2007In: Partners in progress: a felicitation volume in honour of Vidya Jyothi Prof. V.K. Samaranayake, Colombo , 2007Chapter in book (Other academic)
  • 7. Candia, Rodolfo
    et al.
    Danielsson, Mats
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Glimbert, Lars
    Popov, Oliver
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    SPIDER - Spanning the Web of ICT in Developing World2004In: Proceedings. Norwegian Association for Development Research Annual Conference 2004, 1 October, Bergen, Norway: Education, Knowledge and Development, 2004, p. 150-157Conference paper (Other scientific)
  • 8. Candia, Rodolfo
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Popov, Oliver
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    ICT Education for Development Based on the DSV Model2003In: Proceedings of 25th International Conference on Information Technology Interfaces 2003, Zagreb: SRCE and University of Zagreb , 2003, p. 341-345Conference paper (Refereed)
    Abstract [en]

    Injormation and Communication Technology (ICT) is one oj’the premier juctors in the progress of the contemporury society. Albeit, it’s rewarding benejits and jar reaching consequences have onb widen the division between the developed and developing nations. The article explores the major objectives of the ICT education jbr the di#usion of knowledge in the developing world us one of the nieuns to tiusrow the digitul division, and the experience and the hest practices based on the so culled DSV tnodel, conceived in the Depustnietit qf Cornputer und Systems Sciences (DSV) ut Stockholtn University (SU).

  • 9. Chemane, L
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    e-Government and Architecture Principles Government Portal Case Study2006In: Proceedings of E-challenges, 25-27 October Barcelona, Spain, 2006, p. 643-651Conference paper (Other academic)
  • 10. Chemane, L
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Popov, Oliver
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Cossa, T
    MCDM Model for Selecting Internet Access Technologies: A Case Study in Mozambique2005In: EUROCON 2005-The International Conference on 'Computer as a Tool', 21-24 Nov. 2005 , Belgrade, Serbia, 2005, p. 4-Conference paper (Refereed)
  • 11. Chemane, L
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Popov, Oliver
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Saifodine, Z
    Government Network and ISP Selection Model: Mozambique Case Study2005In: Innovation and the Knowledge Economy: Volume 2: Issues, Applications, Case Studies, IOS Press, 2005, p. 1811-Chapter in book (Other academic)
  • 12. Chemane, Lourino
    et al.
    Carrilho, Sergio
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Taula, Rufino
    MCDM Framework and the Selection of Network Topology: GovNet Case Study2006In: IST-Africa 2006 Conference Proceedings, IIMC International Information Management Corporation , 2006Conference paper (Other scientific)
  • 13. Danielson, M
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Att fatta svåra beslut2007In: Miljöforskning, ISSN 1650-4925Article in journal (Other academic)
  • 14. Danielson, M
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Hansson, K
    Idefeldt, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Påhlman, M
    Riabacke, Ari
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Sundgren, D
    Cross-Disciplinary Research in Analytic Decision Support Systems2006In: 28th International Conference on Information Technology Interfaces, 2006., 2006, p. 123-128Conference paper (Refereed)
    Abstract [en]

    A main problem in decision support contexts is that unguided decision making is difficult and can lead to inefficient decision processes and undesired consequences. Therefore, decision support systems (DSSs) are of prime concern to any organization and there have been numerous approaches to delivering decision support from, e.g., computational, mathematical, financial, philosophical, psychological, and sociological angles. A key observation, however, is that effective and efficient decision making is not easily achieved by using methods from one discipline only. This paper describes some efforts made by the DECIDE Research Group to approach DSS development and decision making tools in a cross-disciplinary way.

  • 15.
    Danielson, Mats
    et al.
    Inst. för data- och systemvetenskap.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Development of Algorithms for Decision Analysis with Interval Information2009In: Proceedings of the 8th International Conference on Software Methodologies, Tools and Techniques, 2009Conference paper (Refereed)
  • 16.
    Danielson, Mats
    et al.
    Stockholms unversitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Probabilistic Decision Making in Intelligent Agents2008In: Encyclopedia of Artificial Intelligence, Dewey , 2008Chapter in book (Other academic)
  • 17.
    Danielson, Mats
    et al.
    Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Ekengren, Anders
    Hökby, Torsten
    Decision Process Support for Participatory Democracy2008In: Journal of Multi-Criteria Decision Analysis, ISSN 1057-9214, E-ISSN 1099-1360, Vol. 15, no 1, p. 15-30Article in journal (Refereed)
    Abstract [en]

    This paper presents a project and case study integrating decision methods into democratic processes. The case discussed is a set of three complicated decisions in a municipality in Sweden. The decisions had been postponed on several occasions prior to bringing in the method described in the paper. The method employed consists of two main parts. The interaction part contains the communication channels directed to the stakeholders. The decision-process part consists of a three-layered working process model. As a part of the method, the project was highly visible on the web. Citizens were encouraged to submit material to the project. All intermediate results of the process were continuously published, enhancing transparency. For each decision, the analysis consisted of comparing all alternatives, taking the respective criteria into account as weighted or ranked by the participants. A method for recording compromises analytically was also used. The purpose was not to replace the political process but to support it in a structured way.

  • 18.
    Danielson, Mats
    et al.
    Dept. of Systems and Computer Science, Stockholm University and KTH.
    Ekenberg, Love
    Dept. of Systems and Computer Science, Stockholm University and KTH.
    Grönlund, Åke
    Dept of Informatics/ESI, Örebro University.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Public Decision Support - Using a DSS to Increase Democratic Transparency2005In: International Journal of Public Information Systems, ISSN 1653-4360, Vol. 1, no 1, p. 3-25Article in journal (Refereed)
    Abstract [en]

    We present a case study in which a decision support method (ADL) was employed by a local government in order to guide and aid decisions on three complicated and politically infected issues which had remained unresolved for many years. The research inquiry was whether a well-defined and openly accessible method would aid a common understanding of the decision problems, and whether people would be able to accept a clearly motivated decision even if politically they preferred a different option. The ADL method has been used in several public sector projects ranging from very large purchasing decisions to the selection of national policies, but this test case was novel in that it involved close inspection by the public. This case was also devised as a test of new methods for potential inclusion into normal practices. The post-case analysis shows mixed understanding of and belief in the method. The results raise issues concerning both the potential for decision support methods in a political context and the nature of political decision making.

  • 19.
    Danielson, Mats
    et al.
    Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Grönlund, Åke
    Örebro universitet.
    Åström, Joachim
    Örebro universitet.
    Towards Interactive Decision Making:Connecting Participatory Processes and Institutional Contexts2008In: Proceedings of E-challenges 2008, 2008Conference paper (Refereed)
  • 20. Danielson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Idefeldt, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Using a Software Tool for Public Decision Analysis Analysis: the Case of Nacka Municipality2007In: Decision Analysis, ISSN 1545-8490, Vol. 4(2), p. 76-90Article in journal (Refereed)
    Abstract [en]

    This paper presents a case of interval decision analysis using a tool that takes advantage of interval probabilities, values, and criteria weights, and is capable of handling comparative relations, i.e. interval statements on differences between variables. These statements are represented as constraints to the solution set and evaluated using a number of different evaluation methods, each serving the decision-maker with different insights of the decision problem. We demonstrate the applicability of the tool in a case study regarding three public infrastructure decision problems which had remained unresolved during a number of years.

  • 21. Danielson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johansson, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Decision Evaluation of Three Flood Management Strategies.2003In: FLAIRS' 03 Recent Advances in Artificial Intelligence: Proceedings of the 16th International Flairs Conference, Menlo Park, Calif.: AAAI Press , 2003, p. 491-495Conference paper (Other scientific)
    Abstract [en]

    This article describes the application of computational decision analytic techniques for a national policy decision. It constitutes an example of the increasing use of modern computational decision methods to assist in decision-making in society. An integrated flood catastrophe model is presented as well as some results of a case study made in the Upper Tisza region in north-eastern Hungary, viz. the Palad-Csecsei basin. Background data was provided through the Hungarian Academy of Sciences and complemented by interviews with different stakeholders in the region. Based upon these data, where a large degree of uncertainty is prevailing, we demonstrate how an implementation of a simulation and decision analytical model can provide insights into the effects of imposing different policy options for a flood risk management program in the region. We focus herein primarily on general options for designing a public/private insurance and reinsurance system for Hungary. It should, however, be emphasized that the main purpose of this article is not to provide any definite recommendations, but rather to present a methodology for handling a set of policy packages with the aim of gaining a consensus among stakeholders.

  • 22. Danielson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johansson, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    The DecideIT Decision Tool2003In: ISIPTA '03: Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, Lugano, Switzerland, July 14-17, 2003, Carleton Scientific , 2003, p. 204-217Conference paper (Other academic)
    Abstract [en]

    The nature of much information available to decision makers is vague and imprecise, be it information for human managers in organisations or for process agents in a distributed computer environment. Several models for handling vague and imprecise information in decision situations have been suggested. In particular, various interval methods have prevailed, i.e. methods based on interval estimates of probabilities and, in some cases, interval utility estimates. Even if these approaches in general are well founded, little has been done to take into consideration the evaluation perspective and, in particular, computational aspects and implementation issues. The purpose of this paper is to demonstrate a tool for handling imprecise information in decision situations. The tool is an implementation of our earlier research focussing on finding fast algorithms for solving bilinear systems of equations together with a graphical user interface supporting the interpretation of evaluations of imprecise data.

  • 23. Danielson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Distribution of expected utility in decision trees2007In: International Journal of Approximate Reasoning, ISSN 0888-613X, E-ISSN 1873-4731, Vol. 46, no 2, p. 387-407Article in journal (Refereed)
    Abstract [en]

    Evaluation of decision trees in which uncertain information is present is complicated. Especially when the tree has some depth, i.e. consists of more than one level, the effects of the choice of representation and evaluation procedures are significant. Second-order representation and evaluation may significantly increase a decisionmaker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. Furthermore, due to the effects on the distribution of belief over the intervals of expected utilities, the Gamma-maximin decision rule seems to be unnecessarily pessimistic as the belief in neighbourhoods of points near interval boundaries is usually lower than in neighbourhoods near the centre. Due to this, a generalized expected utility is proposed. The results in this paper apply also to approaches which do not explicitly deal with second-order information, such as standard decision trees or probabilistic networks using only first-order concepts, for example upper and lower bounds. Furthermore, the results also apply to other, non-probabilistic weighted trees such as multi-criteria weight trees.

  • 24.
    Danielson, Mats
    et al.
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Riabacke, Mona
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Structured eDemocracy beyond eDiscussion2009In: Proceedings of eChallenges 2009, 2009Conference paper (Refereed)
    Abstract [en]

    This paper presents a case showing how the use of a transparent decision support model can increase the effectiveness of the preparatory, analysis and negotiation stages of a democratic decision process. The case is of a democratic decision process taking advantage of a transparent decision support model, which may be extended to also include participatory elements in a well-defined manner. The support methods must allow for decision modelling with respect to different preferences and views, which further can be adjusted in an interactive fashion when considering calculated decision outcomes.

  • 25.
    Danielson, Mats
    et al.
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Riabacke, Mona
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Transparent Public Decision Making - Discussion and Case Study in Sweden2010In: e-Democracy: Advances in Group Decision and Negotiation Volume 5 Part 4 / [ed] French, S. and Ríos Insua, D., Springer Science+Business Media B.V., 2010, 1, p. 263-281Chapter in book (Other academic)
    Abstract [en]

    The Swedish city of Örebro has since long faced complex problems with poor water quality in a local river. This problem is a typical example of a regional decision problem, since there are several different stakeholders that might be affected, and there are different views on the need for, and effect of, different measures. The problems also strongly relate to the environmental condition of the river and involve other municipalities as well. In this chapter, we describe how to address this problem using an implementation of a systematic democratic decision process for enhancing the transparency and the decision quality in itself. The process is in conformity with common democratic processes, but with higher emphasis on accuracy and precision and on the interaction between civil servants and decision makers. A main issue here is to clearly separate the various views involved in these processes from the actual facts and, at the same time, facilitate input from various stakeholders. Therefore, we allow for modelling of outcomes based on different preferences and facilitate an elicitation process where views are extracted and combined with basic data from the background investigations preceding the decision. The process is divided into two stages. The first one is emphasized in this chapter and concerns the internal democracy, i.e. the formulation and refinement of the original and extended decision problems and the interaction between politicians and civil servants, while the second stage deals with the external democracy, i.e. the communication with the public, where communication channels directed towards citizens will be formed.

  • 26.
    Danielson, Mats
    et al.
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Riabacke, Ari
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    A Prescriptive Approach to Elicitation of Decision Data2008In: Journal of Statistical Theory and Practice, ISSN 1559-8616, Vol. 3, no 1, p. 157-168Article in journal (Refereed)
  • 27. Danielsson, M
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    A Method for Decision Support in e-democracy: A Case from the Greater Stockholm Area2004In: Proceedings of e-challenges 2004, 2004Conference paper (Other academic)
  • 28.
    Danielsson, M
    et al.
    Stockholm University.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Computing Upper and Lower Bounds in Interval Decision Trees2007In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 181, no 2, p. 808-816Article in journal (Refereed)
    Abstract [en]

    This article presents algorithms for computing optima in decision trees with imprecise probabilities and utilities. In tree models involving uncertainty expressed as intervals and/or relations, it is necessary for the evaluation to compute the upper and lower bounds of the expected values. Already in its simplest form, computing a maximum of expectancies leads to quadratic programming (QP) problems. Unfortunately, standard optimization methods based on QP (and BLP - bilinear programming) are too slow for the evaluation of decision trees in computer tools with interactive response times. Needless to say, the problems with computational complexity are even more emphasized in multi-linear programming (MLP) problems arising from multi-level decision trees. Since standard techniques are not particularly useful for these purposes, other, non-standard algorithms must be used. The algorithms presented here enable user interaction in decision tools and are equally applicable to all multi-linear programming problems sharing the same structure as a decision tree.

  • 29. Danielsson, Matd
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Sundgren, David
    Structure Information in Decision Trees and Similar Formalisms2007In: Structure Information in Decision Trees and Similar Formalisms: Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007, Menlo Park, California: AAAI Press, 2007, p. 62-67Conference paper (Refereed)
    Abstract [en]

    In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several have been proposed over the years. In particular, first-order representations of imprecision, such as sets of probability measures, upper and lower probabilities, and interval probabilities and utilities of various kinds, have been suggested for enabling a better representation of the input sentences. A common problem is, however, that pure interval analyses in many cases cannot discriminate sufficiently between the various strategies under consideration, which, needless to say, is a substantial problem in real-life decision making in agents as well as decision support tools. This is one reason prohibiting a more wide-spread use. In this article we demonstrate that in many situations, the discrimination can be made much clearer by using information inherent in the decision structure. It is discussed using second-order probabilities which, even when they are implicit, add information when handling aggregations of imprecise representations, as is the case in decision trees and probabilistic networks. The important conclusion is that since structure carries information, the structure of the decision problem influences evaluations of all interval representations and is quantifiable.

  • 30. Danielsson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    A Support System for Decision Analysis: PCT patent application SE2005/000627, filed April 29, 20052005Patent (Other (popular scientific, debate etc.))
  • 31. Danielsson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Method for decision and risk analysis in probabilistic and multiple criteria situations2005Patent (Other (popular scientific, debate etc.))
    Abstract [en]

    A computer-implemented decision device and a family of methods and procedures are used for representing and analyzing imprecise, vague, and incomplete probabilistic decision and risk problems and/or when a criteria hierarchy is present. Decision makers can state the problems simply with the precision the decision-makers feel they have evidence for. Probabilities, values (utilities), criteria weights with belief distributions over them, and optimization procedures for fast evaluation of decision rules with respect to such statements are determined and analyzed.

  • 32. Danielsson, Mats
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johansson [Idefeldt], Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Investment Decision Analysis: a case study at SCA Transforest2003In: IKE'03: Proceedings of the international conference on infomration and knowledge engineering: Vols. 1 and 2, 2003, p. 79-85Conference paper (Other scientific)
    Abstract [en]

    In investment decision-making in organizations, large values can be at stake. The need for a structured process is evident, not least when several people or interests are involved in the process. We advocate that the use of modern computational decision analysis can improve such investment processes by improving visibility and only requiring reasonably precise input data. The applicability of a structured decision analysis to corporate decision-making is demonstrated in a case study at SCA Transforest, a subdivision to SCA. The decision problem consists of whether a new system for logistic control should be implemented or not. The background information was collected through interviews and the structuring and analysis of the problem was performed using the tool DecideIT, designed for handling situations where uncertainties in input data prevail. The result of the analysis points out a reasonable action, but also shows which aspects are crucial to consider for a reliable result.

  • 33.
    Davies, Guy
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Agent Metaphores for Analysing Telematic Services1998In: Intelligent Agents for Telecommunication Applications, 1998, p. 156-Chapter in book (Other academic)
    Abstract [en]

    Using a formalisation based on logic and set theory, we present the use of transformations between process related languages and dynamic entity-relationship models. This work formalises and incorporates our earlier research in schema integration and the integration of multi-agent architecture designs to handle problematic cases of global inconsistency in distributed information systems. Telia Research AB (previously Swedish Telecom) commissioned the original work, the implementation of which was used to detect interferences to Telia�s public telematic services. The verification methods in first order logic (FOL) presented here are generally applicable to the analysis of conflicts in process based systems.

  • 34. Davies, Guy
    et al.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Thorbiörnson, Johan
    Stockholms universitet.
    Logic – Basics & Beyond2009 (ed. 2 ed.)Book (Other academic)
  • 35.
    Ding, Xiaosong
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielson, Mats
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Disjoint Programming in Computational Decision Analysis2010In: Journal of Uncertain Systems, ISSN 1752-8917, Vol. 4, no 1, p. 4-13Article in journal (Refereed)
  • 36.
    Ding, Xiaosong
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielson, Mats
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Generalized Bilinear Decision AnalysisManuscript (preprint) (Other academic)
  • 37.
    Ding, Xiaosong
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielsson, Mats
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Non-Linear Programming Solvers for Decision Analysis2004In: Operations Research Proceedings 2003: Selected Papers of the International Conference on Operations Research (OR 2003) Heidelberg, September 3-5, 2003, Springer , 2004, p. 475-Conference paper (Other academic)
    Abstract [en]

    Several methods have been developed over a number of years for solving decision problems when vague and numerically imprecise information prevails. However, the DELTA method and similar methods give rise to particular bilinear programming problems that are time consuming to solve in a real-time environment. This paper presents a set of benchmark tests for non-linear programming solvers for solving this special type of problems. With two existing linear programming based algorithms, it also investigates the performance of linear programming solvers for special decision situations in decision support systems.

  • 38.
    Ding, Xiaosong
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielsson, Mats
    A Fast Bilinear Optimization Algorithm2004In: Proceedings of the Third International Conference on Nonlinear Analysis and Convex Analysis 2003 (NACA 2003), Yokohama: Yokohama Publishers , 2004Conference paper (Refereed)
    Abstract [en]

    Computational decision analysis methods (such as DELTA) have been developed and implemented over a number of years for solving decision problems when vague and numerically imprecise information prevails. However, the evaluation phases in those methods often give rise to bilinear programming problems, which are time-consuming to solve in an interactive environment with general nonlinear programming solvers such as SNOPT. This paper proposes a linear programming based algorithm for solving this type of problems, thus enabling interactive use of such methods.

  • 39.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    The logic of conflicts between decision making agents2000In: Journal of logic and computation (Print), ISSN 0955-792X, E-ISSN 1465-363X, Vol. 10, no 4, p. 583-602Article in journal (Refereed)
    Abstract [en]

    We present a formal model for the analysis of conflicts in sets of autonomous agents restricted in the sense that they can be described in a (first-order) language and by a transaction mechanism. In this model, we allow for enrichment of agent systems with correspondence assertions, expressing the relationship between different entities in the formal specifications of the agents. Thereafter the specifications are analysed with respect to conflicts. If two specifications ale free of conflicts, the formulae of one specification together with the set of correspondence assertions do not restrict the models of the other specification, i.e. the agent system does not restrict the individual agents. The approach takes into account static as well as dynamic aspects of this kind of interaction. Classifications of complexity of determining whether two specifications are free of conflicts are also presented. Furthermore, if the agents are allowed to act in accordance with the result of executions of a decision module, a situation may occur where, for example, subsets of their possible goal sets are consistent, but in actual fact the individual agents may nevertheless always terminate in states that are in conflict. Therefore, the model is also enriched by processes for analysing when specifications are compatible with respect to states for which it is reasonable to assume that they eventually will be reached.

  • 40.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Unpleasant Risks and Methods: Sundsvall 422007Conference paper (Other academic)
  • 41.
    Ekenberg, Love
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Vem betalar i katastrofens spår2007In: Miljöforskning, ISSN 1650-4925, no 4Article in journal (Other academic)
  • 42.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Andersson, Mikael
    Dept. of Mathematical Statistics, Stockholm University, Forum 100 SE-164 40 Kista, Sweden.
    Danielsson, Mats
    Dept. of Computer and Systems Sciences, Stockholm University, Forum 100 SE-164 40 Kista, Sweden.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Distributions over Expected Utilities in Decision Analysis2007In: ISIPTA 2007 - Proceedings of the 5th International Symposium on Imprecise Probability: Theories and Applications, 2007, p. 175-182Conference paper (Refereed)
    Abstract [en]

    It is often recognised that in real-life decision situations, classical utility theory puts too strong requirements on the decision-maker. Various interval approaches for decision making have therefore been developed and these have been reasonably successful. However, a problem that sometimes appears in real-life situations is that the result of an evaluation still has an uncertainty about which alternative is to prefer. This is due to expected utility overlaps rendering discrimination more difficult. In this article we discuss how adding second-order information may increase a decision-maker�s understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams.

  • 43.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Brouwers, L
    Danielsson, M
    Hansson, K
    Johansson, Jim
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Riabacke, Ari
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Vari, A
    Flood risk management policy in the upper Tiza Basin: A system analytical approach simulation and analysis of three flood management strategies2003Report (Other scientific)
  • 44.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielson, M
    Thorbiörnson, J
    Multiplicative Properties in Evaluation of Decision Trees2006In: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, ISSN 0218-4885, Vol. 14, no 3, p. 293-316Article in journal (Refereed)
  • 45.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielsson, M
    Dept. of Informatics, ESI, Örebro University, Örebro.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Second Order Effects in Interval Valued Decision Graph Models2005In: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence, AAAI Press, 2005, p. 728-733Conference paper (Other academic)
    Abstract [en]

    Second-order calculations may significantly increase a decision maker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order concepts such as upper and lower bounds.

  • 46.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Gentle, A
    Introduction to System Verification: Invited speak2005In: Proceedings of SOMET 2005, 2005Conference paper (Other scientific)
  • 47.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johannesson, P
    Amon, B
    Munguanaze, M
    Njabili, U
    Tesha, R M
    Generalised Inductive Proving of Design Correctness: Proceedings of SoMet2003Conference paper (Other scientific)
  • 48.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Johannesson, Paul
    Stockholms universitet.
    UML as a first order transition logic2003In: INFORMATION MODELLING AND KNOWLEDGE BASES XIV / [ed] Jaakkola, H; Kangassalo, H; Kawaguchi, E; Thalheim, B, 2003, p. 142-151-Conference paper (Refereed)
    Abstract [en]

    The work presented herein suggests a working method for the transformation of UML specifications to an event driven logic based formalism. The result models a fully expressive set of UML language constructs from the source language, in a first order model at meta level, and extend this with subclasses together with their relations in accordance with an input specification. The translation of any specification within this subset of the language is then achieved by just extending the meta model. The resulting model is expressed in first order logic. In this way the transformation preserves the conceptual integrity of the source specifications and provides a basis for further integration and verification.

  • 49.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Danielson, Mats
    Inst. för data- och systemvetenskap, Stockholms universitet.
    Second-Order Risk Constraints2008In: Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21, Menlo Park: AAAI Press, 2008, p. 637-642Conference paper (Refereed)
    Abstract [en]

    This paper discusses how numerically imprecise information can be modelled and how a risk evaluation process can be elaborated by integrating procedures for numerically imprecise probabilities and utilities. More recently, representations and methods for stating and analysing probabilities and values (utilities) with belief distributions over them (second order representations) have been suggested. In this paper, we are discussing some shortcomings in the use of the principle of maximising the expected utility and of utility theory in general, and offer remedies by the introduction of supplementary decision rules based on a concept of risk constraints taking advantage of second-order distributions.

  • 50.
    Ekenberg, Love
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Larsson, Aron
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
    Idefeldt, Jim
    Preference AB.
    Bohman, Samuel
    Institutet för framtidsstudier.
    The Lack of Transparency in Public Decision Processes2009In: International Journal of Public Information Systems, ISSN 1653-4360, Vol. 5, no 1, p. 1-8Article in journal (Refereed)
    Abstract [en]

    We discuss the lack of transparency and use of elaborated decision methods in public decision processes. The decision regarding new roads in the greater Stockholm area has been used as a significant example.

12 1 - 50 of 84
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf