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Multi-criteria decision analysis : methods and software / Alessio Ishizaka, Philippe Nemery.

By: Contributor(s): Material type: TextTextPublisher: Chichester, West Sussex, United Kingdom : Wiley, 2013Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118644911
  • 1118644913
  • 9781118644904
  • 1118644905
  • 9781118644928
  • 1118644921
  • 9781118644898
  • 1118644891
  • 1119974070
  • 9781119974079
  • 9781299665231
  • 1299665233
Subject(s): Genre/Form: Additional physical formats: Print version:: Multi-criteria decision analysis.DDC classification:
  • 003/.56 23
LOC classification:
  • T57.95
Online resources:
Contents:
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 -- pt. 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. Results -- 2.3.5. 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.
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 -- pt. II OUTRANKING APPROACH -- 6. Promethee -- 6.1. Introduction -- 6.2. Essential concepts of the PROMETHEE method -- 6.2.1. Unicriterion preference degrees -- 6.2.2. 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 -- 6.5. Extensions of PROMETHEE -- 6.5.1. PROMETHEE GDSS -- 6.5.2. FlowSort: A sorting or supervised classification method -- References -- 7. Electre -- 7.1. Introduction -- 7.2. Essentials of the ELECTRE methods -- 7.2.1. ELECTRE III -- 7.3. The ELECTRE III-IV software -- 7.3.1. Data entry -- 7.3.2. Entering preference parameters -- 7.3.3. Results -- 7.4. In the black box of ELECTRE III -- 7.4.1. Outranking relations -- 7.4.2. Partial concordance degree -- 7.4.3. Global concordance degree -- 7.4.4. Partial discordance degree -- 7.4.5. Outranking degree -- 7.4.6. Partial ranking: Exploitation of the outranking relations -- 7.4.7. Some properties -- 7.5. Electre-Tri -- 7.5.1. Introduction -- 7.5.2. Preference relations -- 7.5.3. Assignment rules -- 7.5.4. Properties.
10.4.2. Variable returns to scale -- 10.5. Extensions of DEA -- 10.5.1. Adjusting for the environment -- 10.5.2. Preferences -- 10.5.3. Sensitivity analysis -- 10.5.4. Time series data -- References -- pt. IV INTEGRATED SYSTEMS -- 11. Multi-method platforms -- 11.1. Introduction -- 11.2. Decision Deck -- 11.3. DECERNS -- 11.3.1. The GIS module -- 11.3.2. The MCDA module -- 11.3.3. The GDSS module -- 11.3.4. Integration -- References -- Appendix: Linear optimization -- A.1. Problem modelling -- A.2. Graphical solution -- A.3. Solution with Microsoft Excel.
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Includes bibliographical references and index.

Print version record and CIP data provided by publisher.

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 -- pt. 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. Results -- 2.3.5. 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.

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 -- pt. II OUTRANKING APPROACH -- 6. Promethee -- 6.1. Introduction -- 6.2. Essential concepts of the PROMETHEE method -- 6.2.1. Unicriterion preference degrees -- 6.2.2. 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 -- 6.5. Extensions of PROMETHEE -- 6.5.1. PROMETHEE GDSS -- 6.5.2. FlowSort: A sorting or supervised classification method -- References -- 7. Electre -- 7.1. Introduction -- 7.2. Essentials of the ELECTRE methods -- 7.2.1. ELECTRE III -- 7.3. The ELECTRE III-IV software -- 7.3.1. Data entry -- 7.3.2. Entering preference parameters -- 7.3.3. Results -- 7.4. In the black box of ELECTRE III -- 7.4.1. Outranking relations -- 7.4.2. Partial concordance degree -- 7.4.3. Global concordance degree -- 7.4.4. Partial discordance degree -- 7.4.5. Outranking degree -- 7.4.6. Partial ranking: Exploitation of the outranking relations -- 7.4.7. Some properties -- 7.5. Electre-Tri -- 7.5.1. Introduction -- 7.5.2. Preference relations -- 7.5.3. Assignment rules -- 7.5.4. Properties.

10.4.2. Variable returns to scale -- 10.5. Extensions of DEA -- 10.5.1. Adjusting for the environment -- 10.5.2. Preferences -- 10.5.3. Sensitivity analysis -- 10.5.4. Time series data -- References -- pt. IV INTEGRATED SYSTEMS -- 11. Multi-method platforms -- 11.1. Introduction -- 11.2. Decision Deck -- 11.3. DECERNS -- 11.3.1. The GIS module -- 11.3.2. The MCDA module -- 11.3.3. The GDSS module -- 11.3.4. Integration -- References -- Appendix: Linear optimization -- A.1. Problem modelling -- A.2. Graphical solution -- A.3. Solution with Microsoft Excel.