This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.
This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research.
Worked examples as well as the software featured in the book are available on an accompanying website.
Alessio Ishizaka Reader in Decision Analysis, Portsmouth Business School, University of Portsmouth, UK Philippe Nemery Senior Research Scientist, SAP Labs - China, Shanghai, PRC
Inhaltsangabe
Foreword xi Acknowledgements xiii 1 General introduction 1 1.1 Introduction 1 1.2 Decision problems 3 1.3 MCDA methods 4 1.4 MCDA software 5 1.5 Selection of MCDA methods 5 1.6 Outline of the book 8 References 9 Part I FULL AGGREGATION APPROACH 11 2 Analytic hierarchy process 13 2.1 Introduction 13 2.2 Essential concepts of AHP 13 2.3 AHP software: MakeItRational 20 2.4 In the black box of AHP 27 2.5 Extensions of AHP 40 References 54 3 Analytic network process 59 3.1 Introduction 59 3.2 Essential concepts of ANP 59 3.3 ANP software: Super Decisions 68 3.4 In the black box of ANP 76 References 80 4 Multi-attribute utility theory 81 4.1 Introduction 81 4.2 Essential concepts of MAUT 81 4.3 RightChoice 89 4.4 In the black box of MAUT 97 4.5 Extensions of the MAUT method 98 References 112 5 MACBETH 114 5.1 Introduction 114 5.2 Essential concepts of MACBETH 114 5.3 Software description: M-MACBETH 122 5.4 In the black box of MACBETH 131 References 133 Part II OUTRANKING APPROACH 135 6 PROMETHEE 137 6.1 Introduction 137 6.2 Essential concepts of the PROMETHEE method 137 6.3 The Smart Picker Pro software 149 6.4 In the black box of PROMETHEE 160 6.5 Extensions of PROMETHEE 170 References 177 7 ELECTRE 180 7.1 Introduction 180 7.2 Essentials of the ELECTRE methods 180 7.3 The Electre III-IV software 189 7.4 In the black box of ELECTRE III 194 7.5 ELECTRE-Tri 204 References 210 Part III GOAL, ASPIRATION OR REFERENCE-LEVEL APPROACH 213 8 TOPSIS 215 8.1 Introduction 215 8.2 Essentials of TOPSIS 215 References 221 9 Goal programming 222 9.1 Introduction 222 9.2 Essential concepts of goal programming 222 9.3 Software description 227 9.4 Extensions of the goal programming 228 References 234 10 Data Envelopment Analysis 235 Jean-Marc Huguenin 10.1 Introduction 235 10.2 Essential concepts of DEA 236 10.3 The DEA software 252 10.4 In the black box of DEA 262 10.5 Extensions of DEA 268 References 270 Part IV INTEGRATED SYSTEMS 275 11 Multi-method platforms 277 11.1 Introduction 277 11.2 Decision Deck 278 11.3 DECERNS 278 References 287 Appendix: Linear optimization 288 A.1 Problem modelling 288 A.2 Graphical solution 289 A.3 Solution with Microsoft Excel 289 Index 293
Foreword xi Acknowledgements xiii 1 General introduction 1 1.1 Introduction 1 1.2 Decision problems 3 1.3 MCDA methods 4 1.4 MCDA software 5 1.5 Selection of MCDA methods 5 1.6 Outline of the book 8 References 9 Part I FULL AGGREGATION APPROACH 11 2 Analytic hierarchy process 13 2.1 Introduction 13 2.2 Essential concepts of AHP 13 2.3 AHP software: MakeItRational 20 2.4 In the black box of AHP 27 2.5 Extensions of AHP 40 References 54 3 Analytic network process 59 3.1 Introduction 59 3.2 Essential concepts of ANP 59 3.3 ANP software: Super Decisions 68 3.4 In the black box of ANP 76 References 80 4 Multi-attribute utility theory 81 4.1 Introduction 81 4.2 Essential concepts of MAUT 81 4.3 RightChoice 89 4.4 In the black box of MAUT 97 4.5 Extensions of the MAUT method 98 References 112 5 MACBETH 114 5.1 Introduction 114 5.2 Essential concepts of MACBETH 114 5.3 Software description: M-MACBETH 122 5.4 In the black box of MACBETH 131 References 133 Part II OUTRANKING APPROACH 135 6 PROMETHEE 137 6.1 Introduction 137 6.2 Essential concepts of the PROMETHEE method 137 6.3 The Smart Picker Pro software 149 6.4 In the black box of PROMETHEE 160 6.5 Extensions of PROMETHEE 170 References 177 7 ELECTRE 180 7.1 Introduction 180 7.2 Essentials of the ELECTRE methods 180 7.3 The Electre III-IV software 189 7.4 In the black box of ELECTRE III 194 7.5 ELECTRE-Tri 204 References 210 Part III GOAL, ASPIRATION OR REFERENCE-LEVEL APPROACH 213 8 TOPSIS 215 8.1 Introduction 215 8.2 Essentials of TOPSIS 215 References 221 9 Goal programming 222 9.1 Introduction 222 9.2 Essential concepts of goal programming 222 9.3 Software description 227 9.4 Extensions of the goal programming 228 References 234 10 Data Envelopment Analysis 235 Jean-Marc Huguenin 10.1 Introduction 235 10.2 Essential concepts of DEA 236 10.3 The DEA software 252 10.4 In the black box of DEA 262 10.5 Extensions of DEA 268 References 270 Part IV INTEGRATED SYSTEMS 275 11 Multi-method platforms 277 11.1 Introduction 277 11.2 Decision Deck 278 11.3 DECERNS 278 References 287 Appendix: Linear optimization 288 A.1 Problem modelling 288 A.2 Graphical solution 289 A.3 Solution with Microsoft Excel 289 Index 293
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