Foreword. Preface. About the Authors. 1. Decision-Aiding Today: What Should We Expect B. Roy. 2. Theory of Vectormaximization: Various Concepts of Efficient Solutions J. Jahn. 3. Duality in Multi-objective Optimization H. Nakayama. 4. Preference Relations and MCDM C.A. Bana e Costa, J.-C. Vansnick. 5. Normative and Descriptive Aspects of Decision Making O.I. Larichev. 6. Meta Decision Problems in Multiple Criteria Decision Making T. Hanne. 7. Sensitivity Analysis in MCDM T. Tanino. 8. Goal Programming S.M. Lee, D.L. Olson. 9. Reference Point Approaches A.P. Wierzbicki. 10. Concepts of Interactive Programming T.J. Stewart. 11. Outranking Approach P. Vincke. 12. Multi-Criteria Problem Structuring and Analysis in a Value Theory Framework V. Belton. 13. Fundamentals of Interior Multiple Objective Linear Programming Algorithms A. Arbel. 14. The Use of Rough Sets and Fuzzy Sets in MCDM S. Greco, et al. 15. Use of Artificial Intelligence in MCDM P. Perny, J.-C. Pomerol. 16. Evolutionary Algorithms and Simulated Annealing for MCDM A.J. Chipperfield, et al. Index.
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