Preferences and Decisions under Incomplete Knowledge
Preferences and Decisions under Incomplete Knowledge [electronic resource] /
edited by Janos Fodor, Bernard De Baets, Patrice Perny.
- 1st ed. 2000.
- VIII, 208 p. online resource.
- Studies in Fuzziness and Soft Computing, 51 1434-9922 ; .
- Studies in Fuzziness and Soft Computing, 51 .
(P,Q,I,J) - Preference Structures -- Multi-Objective Fuzzy Linear Programming: The MOFAC Method -- An Extension of the Axioms of Utility Theory Based on Fuzzy Rationality Measures -- Hybrid Probabilistic-Possibilistic Mixtures and Utility Functions -- Additive Recursive Rules -- Maximizing the Information Obtained from Data Fusion -- Social Choice under Fuzziness: A Perspective -- Fuzzy Extension of the Rough Set Approach to Multicriteria and Multiattribute Sorting -- Behavioral Analysis of Aggregation in Multicriteria Decision Aid -- To be Symmetric or Asymmetric? A Dilemma in Decision Making -- Monotone Functions on Finite Lattices: An Ordinal Approach to Capacities, Belief and Necessity Functions.
Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information. In this volume leading scientists in the field address various theoretical and practical aspects related to the handling of this incompleteness. The problems discussed are taken from multi-objective linear programming, rationality considerations in preference modelling, non-probabilistic utility theory, data fusion, group decision making, and multicriteria decision aid.
9783790818482
10.1007/978-3-7908-1848-2 doi
Operations research.
Decision making.
Artificial intelligence.
Economic theory.
Information technology.
Business-Data processing.
Operations Research/Decision Theory.
Artificial Intelligence.
Economic Theory/Quantitative Economics/Mathematical Methods.
IT in Business.
HD30.23
658.40301
(P,Q,I,J) - Preference Structures -- Multi-Objective Fuzzy Linear Programming: The MOFAC Method -- An Extension of the Axioms of Utility Theory Based on Fuzzy Rationality Measures -- Hybrid Probabilistic-Possibilistic Mixtures and Utility Functions -- Additive Recursive Rules -- Maximizing the Information Obtained from Data Fusion -- Social Choice under Fuzziness: A Perspective -- Fuzzy Extension of the Rough Set Approach to Multicriteria and Multiattribute Sorting -- Behavioral Analysis of Aggregation in Multicriteria Decision Aid -- To be Symmetric or Asymmetric? A Dilemma in Decision Making -- Monotone Functions on Finite Lattices: An Ordinal Approach to Capacities, Belief and Necessity Functions.
Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information. In this volume leading scientists in the field address various theoretical and practical aspects related to the handling of this incompleteness. The problems discussed are taken from multi-objective linear programming, rationality considerations in preference modelling, non-probabilistic utility theory, data fusion, group decision making, and multicriteria decision aid.
9783790818482
10.1007/978-3-7908-1848-2 doi
Operations research.
Decision making.
Artificial intelligence.
Economic theory.
Information technology.
Business-Data processing.
Operations Research/Decision Theory.
Artificial Intelligence.
Economic Theory/Quantitative Economics/Mathematical Methods.
IT in Business.
HD30.23
658.40301