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.
表中的内容
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: Make It Rational 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 Right Choice 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
关于作者
Alessio Ishizaka
Reader in Decision Analysis, Portsmouth Business School,
University of Portsmouth, UK
Philippe Nemery
Senior Research Scientist, SAP Labs – China, Shanghai,
PRC
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