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Multi-criteria Decision Analysis : Methods and Software.
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 sof...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Multi-Criteria Decision Analysis; Contents; Foreword; Acknowledgements; 1 General introduction; 1.1 Introduction; 1.2 Decision problems; 1.3 MCDA methods; 1.4 MCDA software; 1.5 Selection of MCDA methods; 1.6 Outline of the book; References; Part I FULL AGGREGATION APPROACH; 2 Analytic hierarchy process; 2.1 Introduction; 2.2 Essential concepts of AHP; 2.2.1 Problem structuring; 2.2.2 Priority calculation; 2.2.3 Consistency check; 2.2.4 Sensitivity analysis; 2.3 AHP software: MakeItRational; 2.3.1 Problem structuring; 2.3.2 Preferences and priority calculation; 2.3.3 Consistency check.
- 2.3.4 Results2.3.5 Sensitivity analysis; 2.4 In the black box of AHP; 2.4.1 Problem structuring; 2.4.2 Judgement scales; 2.4.3 Consistency; 2.4.4 Priorities derivation; 2.4.5 Aggregation; 2.5 Extensions of AHP; 2.5.1 Analytic hierarchy process ordering; 2.5.2 Group analytic hierarchy process; 2.5.3 Clusters and pivots for a large number of alternatives; 2.5.4 AHPSort; References; 3 Analytic network process; 3.1 Introduction; 3.2 Essential concepts of ANP; 3.2.1 Inner dependency in the criteria cluster; 3.2.2 Inner dependency in the alternative cluster; 3.2.3 Outer dependency.
- 3.2.4 Influence matrix3.3 ANP software: Super Decisions; 3.3.1 Problem structuring; 3.3.2 Assessment of pairwise comparison; 3.3.3 Results; 3.3.4 Sensitivity analysis; 3.4 In the black box of ANP; 3.4.1 Markov chain; 3.4.2 Supermatrix; References; 4 Multi-attribute utility theory; 4.1 Introduction; 4.2 Essential concepts of MAUT; 4.2.1 The additive model; 4.3 RightChoice; 4.3.1 Data input and utility functions; 4.3.2 Results; 4.3.3 Sensitivity analysis; 4.3.4 Group decision and multi-scenario analysis; 4.4 In the black box of MAUT; 4.5 Extensions of the MAUT method; 4.5.1 The UTA method.
- 4.5.2 UTAGMS4.5.3 GRIP; References; 5 MACBETH; 5.1 Introduction; 5.2 Essential concepts of MACBETH; 5.2.1 Problem structuring: Value tree; 5.2.2 Score calculation; 5.2.3 Incompatibility check; 5.3 Software description: M-MACBETH; 5.3.1 Problem structuring: Value tree; 5.3.2 Evaluations and scores; 5.3.3 Incompatibility check; 5.3.4 Results; 5.3.5 Sensitivity analysis; 5.3.6 Robustness analysis; 5.4 In the black box of MACBETH; 5.4.1 LP-MACBETH; 5.4.2 Discussion; References; Part II OUTRANKING APPROACH; 6 PROMETHEE; 6.1 Introduction; 6.2 Essential concepts of the PROMETHEE method.
- 6.2.1 Unicriterion preference degrees6.2.2 Unicriterion positive, negative and net flows; 6.2.3 Global flows; 6.2.4 The Gaia plane; 6.2.5 Sensitivity analysis; 6.3 The Smart Picker Pro software; 6.3.1 Data entry; 6.3.2 Entering preference parameters; 6.3.3 Weights; 6.3.4 PROMETHEE II ranking; 6.3.5 Gaia plane; 6.3.6 Sensitivity analysis; 6.4 In the black box of PROMETHEE; 6.4.1 Unicriterion preference degrees; 6.4.2 Global preference degree; 6.4.3 Global flows; 6.4.4 PROMETHEE I and PROMETHEE II ranking; 6.4.5 The Gaia plane; 6.4.6 Influence of pairwise comparisons.