作者: Kwangsun Yoon , Ching-Lai Hwang
DOI:
关键词: Data mining 、 Mathematics 、 Multiple-criteria decision analysis 、 Fuzzy logic 、 Minimax 、 ELECTRE 、 Weighting 、 Fuzzy set 、 Mathematical optimization 、 Pairwise comparison 、 TOPSIS
摘要: I. Introduction.- II. Basic Concepts and Foundations.- 1. Definitions.- 1.1 Terms for MCDM Environment.- 1.2 Solutions.- 2. Models MADM.- 2.1 Noncompensatory Model.- 2.2 Compensatory 3. Transformation of Attributes.- 3.1 Quantification Fuzzy 3.2 Normalization.- 4. Decision Rules.- 4.1 Definition Set.- 4.2 Some Operations Sets.- 5. Methods Assessing Weight.- 5.1 Eigenvector Method.- 5.2 Weighted Least Square 5.3 Entropy 5.4 Linmap.- III. Multiple Attribute Making.- No Preference Information Given.- 1.1.1 Dominance.- 1.1.2 Maximin.- 1.1.3 Maximax.- on Standard Level 2.1.1 Conjunctive Method (Satisficing Method).- 2.1.2 Disjunctive Ordinal 2.2.1 Lexicographic 2.2.2 Elimination By Aspects.- 2.2.3 Permutation 2.3 Cardinal 2.3.1 Linear Assignment 2.3.2 Simple Additive Weighting 2.3.3 Hierarchical 2.3.4 ELECTRE 2.3.5 TOPSIS.- 2.4 Marginal Rate Substitution Attributes 2.4.1 Tradeoffs.- Alternative Pairwise 3.1.1 LINMAP.- 3.1.2 Interactive Proximity 3.2.1 Multidimensional Scaling with Ideal Point.- IV. Applications.- Commodity Selection.- Facility Location (Siting) Personnel Project Environmental Planning.- Land Use 4.3 R & D Project.- 4.4 Water Resources 4.5 Miscellaneous.- Public V. Concluding Remarks.- On MADM Classification.- Applications Objective Making (MODM) Methods.- Multiattribute Utility Theory (MAUT).- A Choice Rule Unified Approach to Future Study.- VI. Bibliography.- Books, Monographs, Conference Proceedings.- Journal Articles, Technical Reports, Theses.