Khulna University of Engineering & Technology
Central Library

Normal view MARC view ISBD view

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

By: Ishizaka, Alessio.
Contributor(s): Nemery, Philippe.
Material type: materialTypeLabelBookPublisher: Chichester, West Sussex, United Kingdom : Wiley, 2013Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118644911; 1118644913; 9781118644904; 1118644905; 9781118644928; 1118644921; 9781118644898; 1118644891; 1119974070; 9781119974079; 9781299665231; 1299665233.Subject(s): Multiple criteria decision making | Multiple criteria decision making -- Data processing | Decision support systems | COMPUTERS -- Cybernetics | Decision support systems | Multiple criteria decision making | Multiple criteria decision making -- Data processing | Decision support systems | Multiple criteria decision making -- Data processing | Multiple criteria decision makingGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Multi-criteria decision analysis.DDC classification: 003/.56 Online resources: Wiley Online Library
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.


Khulna University of Engineering & Technology
Funded by: HEQEP, UGC, Bangladesh