Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications (Hardcover, 1999)

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.