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.
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
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