1 Introduction to Multi Criteria Decision Analysis
1.1 Decision Analysis
1.2 The Components of MCDA Problems
1.3 Classification of MCDA Problems
2 The Hierarchy of the Criteria
2.1 Introduction
2.2 Criteria
2.3 Constructing the Hierarchy of the Criteria
3 Solution of Discrete MCDA Problems
3.1 Introduction
3.2Dominance Method
3.3 Sequential Optimization (SO)
3.4 The ε-Constraint Method (εCM)
3.5 Simple Additive Weighting (SAW)
3.6 Distance Based Methods (DBM)
3.7 The Analytic Hierarchy Process (AHP)
3.8 Other Methods
3.9 Case Studies
3.10 Discussions
4 Solution of Continuous MCDA Problems
4.1 Introduction
4.2 Dominance Method
4.3 Sequential Optimization
4.4 The ε-Constraint Method
4.5 Simple Additive Weighting
4.6 Distance Based Methods
4.7 Other Methods
4.8 Case Studies
4.9 Discussions
5 Social Choice Methods
5.1 Introduction
5.2 Social Choice Methods
5.3 Case Studies
5.4 Consensus on the Results
5.5 Discussions
6 Conflict Resolution Methods
6.1 Introduction
6.2 The Nash Bargaining Solution
6.3 The Non-symmetric Nash Solution
6.4 Area Monotonic Solution
6.5 Equal Loss Solution
6.6 Kalai-Smorodinsky Solution
6.7 Case Studies
6.8 Discussions
7 MCDA Problems under Uncertainty
7.1 Introduction
7.2 Probabilistic Methods
7.3 Fuzzy Methods
7.4 Probabilistic-Fuzzy MCDA Models
7.5 Case Studies
References
Appendix 1
Index