Preferences and Decisions under Incomplete Knowledge
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 han...
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg :
Physica-Verlag HD : Imprint: Physica,
2000.
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| Edition: | 1st ed. 2000. |
| Series: | Studies in Fuzziness and Soft Computing,
51 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- (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.