A Handbook on Multi-Attribute Decision-Making Methods - Babak Zolghadr-Asli
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Présentation A Handbook On Multi - Attribute Decision - Making Methods de Babak Zolghadr - Asli Format Relié
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Chapter 1: An overview of the art of decision-making Summary 1.1. Introduction 1.2. Classification of MADM methods 1.2.1. Preference evaluation mechanism 1.2.2. Attributes' Interactions 1.2.3. The mathematical nature of attributes' values 1.2.3.1. Deterministic vs. non-deterministic 1.2.3.2. Fuzzy vs. crisp 1.2.4. Number of involved decision-makers 1.3. Brief chronicle of MADM methods 1.4. Conclusion References Chapter 2: Simple Weighting Methods: Weighted Sum and Weighted Product Methods 2.1. Introduction 2.2. The weighted sum method 2.3. The Weighted product method 2.4. Conclusion Chapter 3: Analytic Hierarchy Process (AHP) 3.1. Introduction 3.2. The hierarchical structure 3.3. The pairwise comparison 3.4. Inconsistency 3.5. Quadruple axioms of the AHP 3.6. Stepwise description of the AHP method 3.7. Conclusion Reference Chapter 4: Analytic Network Process (ANP) 4.1. Introduction 4.2. Network vs. hierarchy structure 4.3. Stepwise instruction to the ANP method 4.4. Conclusion Chapter 5: The Best-Worst Method (BWM) 5.1. Introduction 5.2. Basic principles of the BWM 5.3. Stepwise description of the BWM 5.4. Conclusion Chapter 6: TOPSIS 6.1. Introduction 6.2. Stepwise instruction to the TOPSIS method 6.3. A common misinterpretation of TOPSIS results 6.4. Conclusion Chapter 7: VIKOR 7.1. Introduction 7.2. Stepwise description of the VIKOR method 7.3. Conclusion Chapter 8: ELECTRE 8.1. Introduction 8.2. A brief history of the ELECTRE family of methods 8.3. ELECTRE I 8.4. ELECTRE II 8.5. ELECTRE III 8.6. ELECTRE IV 8.7. Conclusion Chapter 9: PROMETHEE 9.1. Introduction 9.2. Common ground of the PROMETHEE family 9.3. PROMETHEE I 9.4. PROMETHEE II 9.5. PROMETHEE III 9.6. PROMETHEE IV 9.7. Conclusion Chapter 10: Superiority and Inferiority Ranking (SIR) 10.1. Introduction 10.2. Foundational bases of the SIR method 10.3. Stepwise instruction to SIR method 10.4. Conclusion Chapter 11: PAPRIKA 11.1. Introduction 11.2. Stepwise description of PAPRIKA 11.3. Conclusion Chapter 12: PAPRIKA 12.1. Introduction 12.2. Grey system theory: The foundation and basic principles 12.3. Gray relational modeling 12.4. Grey theory in relation to MADM 12.5. Conclusion Appendix I: Weight assignment approaches Appendix II: A benchmark example and a comparison between objective- and subjective-based MADM methods
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