Multi-objective group decision making: methods, software and applications with fuzzy set techniques
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
London
Imperial College Press
2007
|
| Schriftenreihe: | Series in electrical and computer engineering
6 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 390 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 9781860947933 186094793X |
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| 245 | 1 | 0 | |a Multi-objective group decision making |b methods, software and applications with fuzzy set techniques |c Jie Lu ... |
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| 336 | |b txt |2 rdacontent | ||
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| 650 | 4 | |a Decision making |x Mathematical models | |
| 650 | 4 | |a Fuzzy sets | |
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Datensatz im Suchindex
| _version_ | 1804137128504852480 |
|---|---|
| adam_text | Contents
Foreword v
Preface vii
Part I: Decision Making, Decision Support Systems, and Fuzzy Sets........... 1
1. Decision Making.................................................................................... 3
1.1 Decision and Decision Makers...................................................... 3
1.2 Decision Making Process.............................................................. 5
1.3 Problem Modelling and Optimisation........................................... 10
1.4 Computerised Decision Support.................................................... 13
2. Multi-Objective and Multi-Attribute Decision Making......................... 17
2.1 Criteria, Objectives, and Attributes............................................... 17
2.2 MODM Models............................................................................. 19
2.3 MODM Methods........................................................................... 21
2.3.1 Classifications................................................................... 21
2.3.2 Weighting method............................................................. 25
2.3.3 Goal programming............................................................ 25
2.3.4 A case-based example....................................................... 28
2.4 MADM Models............................................................................. 29
2.5 MADM Methods........................................................................... 31
2.5.1 TOPSIS............................................................................. 32
2.5.2 AHP................................................................................... 34
2.5.3 A case-based example....................................................... 35
2.6 Summary....................................................................................... 37
3. Group Decision Making......................................................................... 39
3.1 Decision Groups............................................................................ 39
3.2 Characteristics............................................................................... 40
3.3 Models........................................................................................... 42
3.4 Process.......................................................................................... 44
3.5 Methods......................................................................................... 46
3.6 Group Support Systems and Groupware....................................... 49
3.7 Summary....................................................................................... 51
4. Decision Support Systems...................................................................... 53
4.1 Concepts........................................................................................ 53
4.2 Characteristics............................................................................... 55
XI
xii Multi-Objective Group Decision Making
4.3 Types............................................................................................. 56
4.4 Multi-Objective DSS..................................................................... 59
4.5 Multi-Attribute DSS...................................................................... 63
4.6 Group DSS.................................................................................... 65
4.7 Intelligent DSS.............................................................................. 67
4.8 Web-Based DSS............................................................................ 70
4.9 Components.................................................................................. 73
4.10 Summary....................................................................................... 75
5. Fuzzy Sets and Systems......................................................................... 77
5.1 Fuzzy Sets..................................................................................... 77
5.1.1 Definitions......................................................................... 77
5.1.2 Operations and properties.................................................. 79
5.1.3 Decomposition theorem and the extension principle........ 80
5.2 Fuzzy Relations............................................................................. 81
5.3 Fuzzy Numbers............................................................................. 83
5.4 Linguistic Variables...................................................................... 87
5.5 Fuzzy Linear Programming........................................................... 89
5.5.1 Zimmermann s model....................................................... 90
5.5.2 Fuzzy parameters.............................................................. 91
5.6 Summary....................................................................................... 91
Part II: Fuzzy Multi-Objective Decision Making.......................................... 93
6. Fuzzy MODM Models........................................................................... 95
6.1 A Problem..................................................................................... 95
6.2 Fuzzy Parameter-Based MOLP Models........................................ 97
6.2.1 A general FMOLP model.................................................. 97
6.2.2 An FMOLPa model........................................................... 100
6.3 Solution Transformation Theories................................................. 102
6.3.1 General MOLP transformation.......................................... 102
6.3.2 Weighted MOLP transformation....................................... 111
6.3.3 Constrained MOLP transformation................................... 114
6.3.4 Weighted maximum MOLP transformation...................... 116
6.4 Fuzzy Multi-Objective Linear Goal Programming Models.......... 119
6.5 Summary....................................................................................... 121
7. Fuzzy MODM Methods......................................................................... 123
7.1 Related Issues................................................................................ 123
7.2 Fuzzy MOLP................................................................................. 126
7.2.1 Method description............................................................ 126
7.2.2 A numeral example........................................................... 130
7.3 Fuzzy MOLGP.............................................................................. 136
7.3.1 Method description............................................................ 137
Contents xiii
7.3.2 A numeral example........................................................... 141
7.4 Interactive FMOLP....................................................................... 146
7.4.1 Method description............................................................ 146
7.4.2 A numeral example........................................................... 152
7.5 Summary....................................................................................... 159
8. Fuzzy Multi-Objective DSS................................................................... 161
8.1 System Configuration.................................................................... 161
8.2 System Interface............................................................................ 163
8.3 A Model-Base and Model Management....................................... 164
8.4 A Method-Base and Solution Process........................................... 167
8.4.1 Fuzzy MOLP..................................................................... 167
8.4.2 Fuzzy MOLGP.................................................................. 167
8.4.3 Interactive FMOLP........................................................... 170
8.5 Case-Based Examples................................................................... 173
8.6 Summary....................................................................................... 185
Part III: Fuzzy Group Decision Making........................................................ 187
9. Fuzzy MCDM........................................................................................ 189
9.1 A Problem..................................................................................... 189
9.2 Models........................................................................................... 193
9.3 Fuzzy TOPSIS............................................................................... 194
9.4 Fuzzy AHP.................................................................................... 196
9.5 A Hybrid Method.......................................................................... 197
9.6 Case-Based Examples................................................................... 200
9.7 Summary....................................................................................... 206
10. Fuzzy Group Decision Making.............................................................. 207
10.1 The Rational-Political Model........................................................ 207
10.2 Uncertain Factors.......................................................................... 210
10.3 An Intelligent FMCGDM Method................................................ 212
10.4 A Case-Based Example................................................................. 217
10.5 Summary....................................................................................... 226
11. A Web-Based Fuzzy Group DSS........................................................... 229
11.1 System Features............................................................................ 229
11.2 System Configuration.................................................................... 231
11.3 System Working Process............................................................... 233
11.4 Case-Based Examples................................................................... 235
11.5 Summary....................................................................................... 246
Part IV: Fuzzy Multi-Objective Group Decision Making............................. 247
12. Multi-Objective Group DSS................................................................... 249
xiv Multi-Objective Group Decision Making
12.1 Frameworks................................................................................... 249
12.2 Multi-Objective Based Aggregation Methods............................... 252
12.2.1 Average solution method.................................................. 252
12.2.2 Weighting objective method............................................. 255
12.2.3 Weighting member method............................................... 258
12.2.4 Ideal solution method........................................................ 260
12.2.5 Solution analysis method.................................................. 262
12.3 An Intelligent MOGDSS............................................................... 263
12.4 Design of the Intelligent Guide Subsystem................................... 265
12.4.1 Knowledge acquisition process......................................... 265
12.4.2 Characteristics analysis models......................................... 266
12.4.3 Novice and intermediate modes........................................ 267
12.4.4 Logical connectivity and characteristics........................... 268
12.4.5 Questions and responses.................................................... 269
12.4.6 Inference process............................................................... 270
12.5 Implementation............................................................................. 272
12.5.1 The MODM method subsystem........................................ 272
12.5.2 The intelligent guide subsystem........................................ 274
12.5.3 The group subsystem......................................................... 277
12.6 Summary....................................................................................... 279
13. Fuzzy Multi-Objective Group DSS........................................................ 281
13.1 A Decision Method....................................................................... 281
13.2 System Configuration.................................................................... 285
13.3 System Interface............................................................................ 286
13.4 A Case-Based Example................................................................. 288
13.5 Summary....................................................................................... 298
Part V: Applications...................................................................................... 299
14. Environmental Economic Load Dispatch............................................... 301
14.1 The Problem.................................................................................. 301
14.2 A Fuzzy Dynamic Model.............................................................. 302
14.3 A Transformation Method............................................................. 303
14.4 A Solution Technique................................................................... 305
14.5 A Case Study................................................................................. 307
14.6 Summary....................................................................................... 312
15. Team Situation Awareness..................................................................... 313
15.1 Situation Awareness...................................................................... 313
15.2 Uncertainty, Inconsistency, and Distributed Environment............ 314
15.3 A Case-Based Example................................................................. 316
15.4 Summary....................................................................................... 322
Contents xv
16. Reverse Logistics Management.............................................................. 323
16.1 Reverse Logistics Chain................................................................ 323
16.2 Characteristics of Decision Making in the Reverse Logistics....... 325
16.3 A Multi-Stage Multi-Criteria Decision Support Model................ 329
16.4 A Case Study................................................................................. 331
16.5 Summary....................................................................................... 339
Appendix A User Manual on FMODSS 341
Appendix B User Manual on FGDSS 355
Bibliography 361
Abbreviation 385
Index 387
|
| adam_txt |
Contents
Foreword v
Preface vii
Part I: Decision Making, Decision Support Systems, and Fuzzy Sets. 1
1. Decision Making. 3
1.1 Decision and Decision Makers. 3
1.2 Decision Making Process. 5
1.3 Problem Modelling and Optimisation. 10
1.4 Computerised Decision Support. 13
2. Multi-Objective and Multi-Attribute Decision Making. 17
2.1 Criteria, Objectives, and Attributes. 17
2.2 MODM Models. 19
2.3 MODM Methods. 21
2.3.1 Classifications. 21
2.3.2 Weighting method. 25
2.3.3 Goal programming. 25
2.3.4 A case-based example. 28
2.4 MADM Models. 29
2.5 MADM Methods. 31
2.5.1 TOPSIS. 32
2.5.2 AHP. 34
2.5.3 A case-based example. 35
2.6 Summary. 37
3. Group Decision Making. 39
3.1 Decision Groups. 39
3.2 Characteristics. 40
3.3 Models. 42
3.4 Process. 44
3.5 Methods. 46
3.6 Group Support Systems and Groupware. 49
3.7 Summary. 51
4. Decision Support Systems. 53
4.1 Concepts. 53
4.2 Characteristics. 55
XI
xii Multi-Objective Group Decision Making
4.3 Types. 56
4.4 Multi-Objective DSS. 59
4.5 Multi-Attribute DSS. 63
4.6 Group DSS. 65
4.7 Intelligent DSS. 67
4.8 Web-Based DSS. 70
4.9 Components. 73
4.10 Summary. 75
5. Fuzzy Sets and Systems. 77
5.1 Fuzzy Sets. 77
5.1.1 Definitions. 77
5.1.2 Operations and properties. 79
5.1.3 Decomposition theorem and the extension principle. 80
5.2 Fuzzy Relations. 81
5.3 Fuzzy Numbers. 83
5.4 Linguistic Variables. 87
5.5 Fuzzy Linear Programming. 89
5.5.1 Zimmermann's model. 90
5.5.2 Fuzzy parameters. 91
5.6 Summary. 91
Part II: Fuzzy Multi-Objective Decision Making. 93
6. Fuzzy MODM Models. 95
6.1 A Problem. 95
6.2 Fuzzy Parameter-Based MOLP Models. 97
6.2.1 A general FMOLP model. 97
6.2.2 An FMOLPa model. 100
6.3 Solution Transformation Theories. 102
6.3.1 General MOLP transformation. 102
6.3.2 Weighted MOLP transformation. 111
6.3.3 Constrained MOLP transformation. 114
6.3.4 Weighted maximum MOLP transformation. 116
6.4 Fuzzy Multi-Objective Linear Goal Programming Models. 119
6.5 Summary. 121
7. Fuzzy MODM Methods. 123
7.1 Related Issues. 123
7.2 Fuzzy MOLP. 126
7.2.1 Method description. 126
7.2.2 A numeral example. 130
7.3 Fuzzy MOLGP. 136
7.3.1 Method description. 137
Contents xiii
7.3.2 A numeral example. 141
7.4 Interactive FMOLP. 146
7.4.1 Method description. 146
7.4.2 A numeral example. 152
7.5 Summary. 159
8. Fuzzy Multi-Objective DSS. 161
8.1 System Configuration. 161
8.2 System Interface. 163
8.3 A Model-Base and Model Management. 164
8.4 A Method-Base and Solution Process. 167
8.4.1 Fuzzy MOLP. 167
8.4.2 Fuzzy MOLGP. 167
8.4.3 Interactive FMOLP. 170
8.5 Case-Based Examples. 173
8.6 Summary. 185
Part III: Fuzzy Group Decision Making. 187
9. Fuzzy MCDM. 189
9.1 A Problem. 189
9.2 Models. 193
9.3 Fuzzy TOPSIS. 194
9.4 Fuzzy AHP. 196
9.5 A Hybrid Method. 197
9.6 Case-Based Examples. 200
9.7 Summary. 206
10. Fuzzy Group Decision Making. 207
10.1 The Rational-Political Model. 207
10.2 Uncertain Factors. 210
10.3 An Intelligent FMCGDM Method. 212
10.4 A Case-Based Example. 217
10.5 Summary. 226
11. A Web-Based Fuzzy Group DSS. 229
11.1 System Features. 229
11.2 System Configuration. 231
11.3 System Working Process. 233
11.4 Case-Based Examples. 235
11.5 Summary. 246
Part IV: Fuzzy Multi-Objective Group Decision Making. 247
12. Multi-Objective Group DSS. 249
xiv Multi-Objective Group Decision Making
12.1 Frameworks. 249
12.2 Multi-Objective Based Aggregation Methods. 252
12.2.1 Average solution method. 252
12.2.2 Weighting objective method. 255
12.2.3 Weighting member method. 258
12.2.4 Ideal solution method. 260
12.2.5 Solution analysis method. 262
12.3 An Intelligent MOGDSS. 263
12.4 Design of the Intelligent Guide Subsystem. 265
12.4.1 Knowledge acquisition process. 265
12.4.2 Characteristics analysis models. 266
12.4.3 Novice and intermediate modes. 267
12.4.4 Logical connectivity and characteristics. 268
12.4.5 Questions and responses. 269
12.4.6 Inference process. 270
12.5 Implementation. 272
12.5.1 The MODM method subsystem. 272
12.5.2 The intelligent guide subsystem. 274
12.5.3 The group subsystem. 277
12.6 Summary. 279
13. Fuzzy Multi-Objective Group DSS. 281
13.1 A Decision Method. 281
13.2 System Configuration. 285
13.3 System Interface. 286
13.4 A Case-Based Example. 288
13.5 Summary. 298
Part V: Applications. 299
14. Environmental Economic Load Dispatch. 301
14.1 The Problem. 301
14.2 A Fuzzy Dynamic Model. 302
14.3 A Transformation Method. 303
14.4 A Solution Technique. 305
14.5 A Case Study. 307
14.6 Summary. 312
15. Team Situation Awareness. 313
15.1 Situation Awareness. 313
15.2 Uncertainty, Inconsistency, and Distributed Environment. 314
15.3 A Case-Based Example. 316
15.4 Summary. 322
Contents xv
16. Reverse Logistics Management. 323
16.1 Reverse Logistics Chain. 323
16.2 Characteristics of Decision Making in the Reverse Logistics. 325
16.3 A Multi-Stage Multi-Criteria Decision Support Model. 329
16.4 A Case Study. 331
16.5 Summary. 339
Appendix A User Manual on FMODSS 341
Appendix B User Manual on FGDSS 355
Bibliography 361
Abbreviation 385
Index 387 |
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| id | DE-604.BV022870112 |
| illustrated | Illustrated |
| index_date | 2024-07-02T18:46:54Z |
| indexdate | 2024-07-09T21:07:22Z |
| institution | BVB |
| isbn | 9781860947933 186094793X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016075231 |
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| owner_facet | DE-703 DE-634 |
| physical | XV, 390 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Imperial College Press |
| record_format | marc |
| series | Series in electrical and computer engineering |
| series2 | Series in electrical and computer engineering |
| spelling | Multi-objective group decision making methods, software and applications with fuzzy set techniques Jie Lu ... London Imperial College Press 2007 XV, 390 S. Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Series in electrical and computer engineering 6 Mathematisches Modell Decision making Mathematical models Fuzzy sets Entscheidung bei mehrfacher Zielsetzung (DE-588)4113444-8 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Gruppenentscheidung (DE-588)4158442-9 gnd rswk-swf Entscheidung bei mehrfacher Zielsetzung (DE-588)4113444-8 s Fuzzy-Menge (DE-588)4061868-7 s DE-604 Gruppenentscheidung (DE-588)4158442-9 s Lu, Jie 1957- Sonstige (DE-588)132468549 oth Series in electrical and computer engineering 6 (DE-604)BV023032816 6 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016075231&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Multi-objective group decision making methods, software and applications with fuzzy set techniques Series in electrical and computer engineering Mathematisches Modell Decision making Mathematical models Fuzzy sets Entscheidung bei mehrfacher Zielsetzung (DE-588)4113444-8 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Gruppenentscheidung (DE-588)4158442-9 gnd |
| subject_GND | (DE-588)4113444-8 (DE-588)4061868-7 (DE-588)4158442-9 |
| title | Multi-objective group decision making methods, software and applications with fuzzy set techniques |
| title_auth | Multi-objective group decision making methods, software and applications with fuzzy set techniques |
| title_exact_search | Multi-objective group decision making methods, software and applications with fuzzy set techniques |
| title_exact_search_txtP | Multi-objective group decision making methods, software and applications with fuzzy set techniques |
| title_full | Multi-objective group decision making methods, software and applications with fuzzy set techniques Jie Lu ... |
| title_fullStr | Multi-objective group decision making methods, software and applications with fuzzy set techniques Jie Lu ... |
| title_full_unstemmed | Multi-objective group decision making methods, software and applications with fuzzy set techniques Jie Lu ... |
| title_short | Multi-objective group decision making |
| title_sort | multi objective group decision making methods software and applications with fuzzy set techniques |
| title_sub | methods, software and applications with fuzzy set techniques |
| topic | Mathematisches Modell Decision making Mathematical models Fuzzy sets Entscheidung bei mehrfacher Zielsetzung (DE-588)4113444-8 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Gruppenentscheidung (DE-588)4158442-9 gnd |
| topic_facet | Mathematisches Modell Decision making Mathematical models Fuzzy sets Entscheidung bei mehrfacher Zielsetzung Fuzzy-Menge Gruppenentscheidung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016075231&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023032816 |
| work_keys_str_mv | AT lujie multiobjectivegroupdecisionmakingmethodssoftwareandapplicationswithfuzzysettechniques |