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_a003/.56 _223 |
| 049 | _aMAIN | ||
| 100 | 1 | _aIshizaka, Alessio. | |
| 245 | 1 | 0 |
_aMulti-criteria decision analysis : _bmethods and software / _cAlessio Ishizaka, Philippe Nemery. |
| 264 | 1 |
_aChichester, West Sussex, United Kingdom : _bWiley, _c2013. |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 588 | 0 | _aPrint version record and CIP data provided by publisher. | |
| 505 | 0 | _a1. 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. | |
| 505 | 8 | _a5.2. 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. | |
| 505 | 8 | _a6.4.1. 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. | |
| 505 | 8 | _a10.4.2. 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. | |
| 650 | 0 | _aMultiple criteria decision making. | |
| 650 | 0 |
_aMultiple criteria decision making _xData processing. |
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| 650 | 0 | _aDecision support systems. | |
| 650 | 7 |
_aCOMPUTERS _xCybernetics. _2bisacsh |
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| 650 | 7 |
_aDecision support systems. _2fast _0(OCoLC)fst00889080 |
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| 650 | 7 |
_aMultiple criteria decision making. _2fast _0(OCoLC)fst01028973 |
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| 650 | 7 |
_aMultiple criteria decision making _xData processing. _2fast _0(OCoLC)fst01028974 |
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| 650 | 4 | _aDecision support systems. | |
| 650 | 4 | _aMultiple criteria decision making -- Data processing. | |
| 650 | 4 | _aMultiple criteria decision making. | |
| 655 | 4 | _aElectronic books. | |
| 655 | 7 |
_aElectronic books. _2local |
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| 700 | 1 | _aNemery, Philippe. | |
| 776 | 0 | 8 |
_iPrint version: _aIshizaka, Alessio. _tMulti-criteria decision analysis. _dChichester, West Sussex : John Wiley & Sons Inc., 2013 _z9781119974079 _w(DLC) 2013004490 |
| 856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118644898 _zWiley Online Library |
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