Rough sets theory for multicriteria decision analysis

Tentative guidelines to help choosing an appropriate MCDA method

A new evidential reasoning based approach is proposed that may be used to deal with uncertain decision knowledge in multiple-attribute decision making (MADM) problems with both quantitative and qualitative attributes. This approach is based on an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory. It is akin to a preference modeling approach, comprising an evidential reasoning framework for evaluation and quantification of qualitative attributes. Two operational algorithms have been developed within this approach for combining multiple uncertain subjective judgments. Based on this approach and a traditional MADM method, a decision making procedure is proposed to rank alternatives in MADM problems with uncertainty. A numerical example is discussed to demonstrate the implementation of the proposed approach. A multiple-attribute motor cycle evaluation problem is then presented to illustrate the hybrid decision making procedure. >

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An evidential reasoning approach for multiple-attribute decision making with uncertainty

Technological and Economic Development of Economy

Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties

Assessing a set of additive utility functions for multicriteria decision-making, the UTA method

Preference disaggregation: 20 years of MCDA experience

Preface. Selected Publications of Bernard Roy. Part I: Memories of Early Career and Impact of Early Works of Bernard Roy. Bernard Roy, Forty Years of Esteem and Friendship J. Lesourne. Connectivity, Transitivity and Chromaticity: The Pioneering Work of Bernard Roy in Graph Theory P. Hansen, D. de Werra. Part II: Philosophy and Epistemology of Decision-Aiding. Decision-Aid Between Tools and Organisations A. David. Talking About the Practice of MCDA V. Belton, J. Pictet. Multi-Criteria Decision-Aid in a Philosophical Perspective J.L. Genard, M. Pirlot. Part III: Theory and Methodology of Multi-Criteria Decision-Aiding. A Characterization of Strict Concordance Relations D. Bouyssou, M. Pirlot. From Concordance / Discordance to the Modelling of Positive and Negative Reasons in Decision Aiding A. Tsoukias, et al. Exploring the Consequences of Imprecise Information in Choice Problems Using ELECTRE L.C. Dias, J. Climaco. Modelling in Decision Aiding D. Vanderpooten. On the Use of Multicriteria Classification Methods: a Simulation Study M. Doumpos, C. Zopounidis. Ordinal Multiattribute Sorting and Ordering in the Presence of Interacting Points of View M. Roubens. Part IV: Preference Modeling. Multiattribute Interval Orders P.C. Fishburn. Preference Representation by Means of Conjoint Measurement and Decision Rule Model S. Greco, et al. Towards a Possibilistic Logic Handling of Preferences S. Benferhat, et al. Empirical Comparison of Lottery- and Rating-Based Preference Assessment O. Franzese, M.R. McCord. Risk Attitudes Appraisal and Cognitive Coordination in Decentralized Decision Systems B. Munier. Logical Foundation ofMulticriteria Preference Aggregation R. Bisdorff. Part V: Applications of Multi-Criteria Decision-Aiding. A Study of the Interactions Between the Energy System and the Economy Using TRIMAP C.H. Antunes, et al. Multicriteria Approach for Strategic Town Planning C.A. Bana e Costa, et al. Measuring Customer Satisfaction for Various Services Using Multicriteria Analysis Y. Siskos, E. Grigoroudis. Management of the Future J.P. Brans, et al. Part VI: Multi-Objective Mathematical Programming. Methodologies for Solving Multi-Objective Combinatorial Optimization Problems J. Teghem. Outcome-Based Neighborhood Search (ONS) W. Habenicht. Searching the Efficient Frontier in Data Envelopment Analysis P. Korhonen.

Eric Jacquet-Lagrèze

Papers

Assessing a set of additive utility functions for multicriteria decision-making, the UTA method

Preference disaggregation: 20 years of MCDA experience

Aiding decisions with multiple criteria: essays in honor of Bernard Roy

Molp with an interactive assessment of a piecewise linear utility function

Aiding Decisions with Multiple Criteria