Multi-level decision making: models, methods and applications
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg ; New York ; Dordrecht ; London
Springer
[2015]
|
| Schriftenreihe: | Intelligent systems reference library
volume 82 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xvi, 377 Seiten |
| ISBN: | 9783662460580 9783662460597 |
Internformat
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| 653 | |a Research | ||
| 653 | |a UYQ | ||
| 653 | |a Applications Of Multi-Level Decision Making | ||
| 653 | |a Bi-Level Decision Making | ||
| 653 | |a Multi-Level Decision Making | ||
| 653 | |a Computational Intelligence | ||
| 653 | |a Business Applications | ||
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Datensatz im Suchindex
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CONTENTS
PART I BI-LEVEL DECISION MAKING
1 DECISION MAKING AND DECISION SUPPORT SYSTEMS 3
1.1 ORGANIZATIONAL DECISION MAKING 3
1.2 CLASSIFICATION FOR DECISION PROBLEMS AND TECHNIQUES 4
1.2.1 DECISION PROBLEM CLASSIFICATION 4
1.2.2 DECISION SUPPORT TECHNIQUE CLASSIFICATION 5
1.3 MAIN DECISION SUPPORT TECHNIQUES 6
1.3.1 MATHEMATICAL PROGRAMMING 7
1.3.2 MULTI-CRITERIA DECISION MAKING 8
1.3.3 CASE-BASED REASONING 10
1.3.4 DATA WAREHOUSE AND DATA MINING 11
1.3.5 DECISION TREE 12
1.3.6 FUZZY SETS AND SYSTEMS 13
1.4 DECISION SUPPORT SYSTEMS 13
1.4.1 CONCEPTS 14
1.4.2 CHARACTERISTICS 15
1.4.3 COMPONENTS 15
1.5 DSS CLASSIFICATION 17
1.5.1 MODEL-DRIVEN DSS 17
1.5.2 DATA-DRIVEN DSS 17
1.5.3 KNOWLEDGE-DRIVEN DSS OR INTELLIGENT DSS 18
1.5.4 GROUP DSS 19
1.5.5 WEB-BASED DSS 19
1.6 DSS SOFTWARE ILLUSTRATION 20
1.6.1 CASE 1: DECIDER 20
1.6.2 CASE 2: A DSS FOR ORE BLENDING COST OPTIMIZATION
OF BLAST FURNACES 21
1.7 SUMMARY 24
IX
HTTP://D-NB.INFO/1063192951
X CONTENTS
2 OPTIMIZATION MODELS 25
2.1 CONCEPTS 25
2.2 LINEAR PROGRAMMING 28
2.3 NON-LINEAR PROGRAMMING 29
2.3.1 VARIETIES OF NON-LINEAR PROGRAMMING 29
2.3.2 THEORIES AND OPTIMALITY CONDITIONS
OF NON-LINEAR PROGRAMMING 30
2.3.3 METHODS FOR SOLVING NON-LINEAR PROGRAMMING
PROBLEMS 31
2.4 MULTI-OBJECTIVE PROGRAMMING 32
2.4.1 MULTI-OBJECTIVE PROGRAMMING MODEL 32
2.4.2 MULTI-OBJECTIVE LINEAR PROGRAMMING METHODS 34
2.4.3 A CASE-BASED EXAMPLE 36
2.5 GOAL PROGRAMMING 37
2.6 STACKELBERG GAME MODEL 41
2.6.1 STACKELBERG GAME AND BI-LEVEL PROGRAMMING 42
2.6.2 STACKELBERG GAME AND NASH GAME 43
2.6.3 APPLICATIONS OF STACKELBERG GAMES 43
2.7 PARTICLE SWARM OPTIMIZATION 44
2.8 SUMMARY 46
3 BI-LEVEL PROGRAMMING MODELS AND ALGORITHMS 47
3.1 BI-LEVEL PROGRAMMING MODEL 47
3.2 SOLUTION THEORIES FOR LINEAR BI-LEVEL PROGRAMMING 49
3.3 A"TH-BEST ALGORITHM FOR LINEAR BI-LEVEL PROGRAMMING 53
3.4 KUHN-TUCKER APPROACH FOR LINEAR BI-LEVEL PROGRAMMING . 55
3.5 BRANCH-AND-BOUND ALGORITHM FOR LINEAR BI-LEVEL
PROGRAMMING 57
3.6 PENALTY FUNCTION METHOD FOR LINEAR BI-LEVEL PROGRAMMING . 59
3.7 MULTI-LEVEL PROGRAMMING MODEL 61
3.8 SUMMARY 62
PART II MULTI-LEVEL MULTI-FOLLOWER DECISION MAKING
4 BI-LEVEL MULTI-FOLLOWER DECISION MAKING 65
4.1 PROBLEM IDENTIFICATION 65
4.2 FRAMEWORK FOR BI-LEVEL MULTI-FOLLOWER DECISION MAKING 66
4.3 BI-LEVEL MULTI-FOLLOWER DECISION MODELS 68
4.3.1 BLMF DECISION ENTITY-RELATIONSHIP DIAGRAM 68
4.3.2 LINEAR BLMF DECISION MODELS 68
4.4 UNCOOPERATIVE BI-LEVEL MULTI-FOLLOWER DECISION MAKING 76
4.4.1 SOLUTION CONCEPTS 76
4.4.2 THEORETICAL PROPERTIES 77
CONTENTS XI
4.4.3 UNCOOPERATIVE BLMF /FTH-BEST ALGORITHM 79
4.4.4 UNCOOPERATIVE BLMF KUHN-TUCKER APPROACH 83
4.5 SEMI-COOPERATIVE BI-LEVEL MULTI-FOLLOWER DECISION MAKING . 85
4.5.1 SOLUTION CONCEPTS 86
4.5.2 THEORETICAL PROPERTIES 87
4.5.3 SEMI-COOPERATIVE BLMF /MI-BEST ALGORITHM 87
4.5.4 SEMI-COOPERATIVE BLMF KUHN-TUCKER APPROACH . 89
4.6 REFERENCE-UNCOOPERATIVE BI-LEVEL MULTI-FOLLOWER DECISION
MAKING 91
4.6.1 SOLUTION CONCEPTS 91
4.6.2 THEORETICAL PROPERTIES 93
4.6.3 REFERENCE-UNCOOPERATIVE BLMF /^TH-BEST
ALGORITHM 95
4.6.4 REFERENCE-UNCOOPERATIVE BLMF KUHN-TUCKER
APPROACH 102
4.7 SUMMARY 104
5 BI-LEVEL MULTI-LEADER DECISION MAKING 105
5.1 PROBLEM IDENTIFICATION 105
5.2 FRAMEWORK FOR BI-LEVEL MULTI-LEADER DECISION MAKING 106
5.3 LINEAR BI-LEVEL MULTI-LEADER DECISION MODELS 107
5.4 CONCEPTS AND DEFINITIONS 112
5.5 GENERALIZED NASH EQUILIBRIUM SOLUTION 114
5.6 BLML PARTICLE SWARM OPTIMIZATION ALGORITHM 115
5.7 A NUMERICAL EXAMPLE 118
5.8 SUMMARY 120
6 TRI-LEVEL MULTI-FOLLOWER DECISION MAKING 121
6.1 PROBLEM IDENTIFICATION 122
6.2 BASIC TRI-LEVEL DECISION MODELS 123
6.3 TRI-LEVEL MULTI-FOLLOWER DECISION FRAMEWORK 125
6.3.1 TLMF DECISION CONCEPTS 125
6.3.2 TLMF DECISION PROBLEM CLASSIFICATION 126
6.3.3 TLMF DECISION FRAMEWORK 127
6.3.4 TLMF DECISION ENTITY-RELATIONSHIP DIAGRAMS 127
6.4 TRI-LEVEL MULTI-FOLLOWER DECISION MODELS 133
6.4.1 GENERAL MODEL FOR TLMF DECISION 133
6.4.2 TYPICAL STANDARD MODELS FOR TLMF DECISION 134
6.4.3 HYBRID TLMF DECISION MODELS 142
6.5 CASE STUDIES FOR TLMF DECISION MODELING 144
6.5.1 CASE 1: S28 MODEL 144
6.5.2 CASE 2: S27 MODEL 147
6.5.3 CASE 3: S54 MODEL 148
6.5.4 CASE 4: HYBRID OF S41, S45 AND S48 MODELS 150
XII CONTENTS
6.6 TRI-LEVEL DECISION SOLUTION METHODS 151
6.6.1 SOLUTION CONCEPTS 151
6.6.2 THEORETICAL PROPERTIES 153
6.6.3 TRI-LEVEL A'TH-BEST ALGORITHM 155
6.6.4 A NUMERICAL EXAMPLE 157
6.7 TRI-LEVEL MULTI-FOLLOWER DECISION SOLUTION METHODS 159
6.7.1 SOLUTION CONCEPTS 159
6.7.2 THEORETICAL PROPERTIES 162
6.7.3 TLMF A'TH-BEST ALGORITHM 165
6.7.4 A NUMERICAL EXAMPLE 167
6.8 SUMMARY 170
PART III FUZZY MULTI-LEVEL DECISION MAKING
7 FUZZY BI-LEVEL DECISION MAKING 175
7.1 PROBLEM IDENTIFICATION 175
7.2 FUZZY SETS AND SYSTEMS 176
7.2.1 FUZZY SETS 177
7.2.2 FUZZY NUMBERS 178
7.3 FUZZY BI-LEVEL DECISION MODELS 183
7.4 FUZZY APPROXIMATION ATH-BEST ALGORITHM 188
7.4.1 PROPERTY AND ALGORITHM 188
7.4.2 ILLUSTRATIVE EXAMPLES 197
7.5 FUZZY MULTI-FOLLOWER APPROXIMATION ATTH-BEST
ALGORITHM . 201
7.6 SUMMARY 205
8 FUZZY MULTI-OBJECTIVE BI-LEVEL DECISION MAKING 207
8.1 PROBLEM IDENTIFICATION 207
8.2 FUZZY MULTI-OBJECTIVE BI-LEVEL DECISION MODEL 208
8.3 FUZZY APPROXIMATION KUHN-TUCKER APPROACH 219
8.3.1 FUZZY APPROXIMATION KUHN-TUCKER APPROACH 220
8.3.2 A CASE-BASED EXAMPLE 220
8.4 SUMMARY 228
9 FUZZY MULTI-OBJECTIVE BI-LEVEL GOAL PROGRAMMING 229
9.1 PROBLEM IDENTIFICATION 229
9.2 SOLUTION CONCEPTS 230
9.3 FUZZY BI-LEVEL GOAL-PROGRAMMING ALGORITHM 241
9.4 A NUMERICAL EXAMPLE AND EXPERIMENTS 242
9.4.1 A NUMERICAL EXAMPLE 242
9.4.2 EXPERIMENTS AND EVALUATION 246
9.5 SUMMARY 247
CONTENTS
XLLL
PART IV RULE-SET-BASED BI-LEVEL DECISION MAKING
10 RULE-SET-BASED BI-LEVEL DECISION MAKING 251
10.1 PROBLEM IDENTIFICATION 251
10.2 INFORMATION TABLES AND RULE-SETS 252
10.2.1 INFORMATION TABLES 252
10.2.2 FORMULAS AND RULES 253
10.2.3 DECISION RULE SET FUNCTION 255
10.2.4 RULE TREES 256
10.2.5 RULES COMPARISON 258
10.3 RULE-SET-BASED BI-LEVEL DECISION MODEL 260
10.3.1 OBJECTIVES 260
10.3.2 CONSTRAINTS 261
10.3.3 RULE-SET-BASED BI-LEVEL DECISION MODEL 261
10.4 RULE-SET-BASED BI-LEVEL DECISION MODELING APPROACH 262
10.5 RULE-SET-BASED BI-LEVEL DECISION SOLUTION ALGORITHMS 264
10.5.1 CONCEPTS AND PROPERTIES 264
10.5.2 RULE-BASED-BASED SOLUTION ALGORITHM 265
10.5.3 TRANSFORMATION-BASED SOLUTION ALGORITHM 268
10.6 A CASE STUDY 273
10.6.1 PROBLEM MODELING 273
10.6.2 SOLUTION 276
10.7 EXPERIMENTS AND ANALYSIS 283
10.8 SUMMARY 286
PART V MULTI-LEVEL DECISION SUPPORT SYSTEMS AND APPLICATIONS
11 FUZZY BI-LEVEL AND TRI-LEVEL DECISION SUPPORT SYSTEMS 289
11.1 A FUZZY BI-LEVEL DECISION SUPPORT SYSTEM 289
11.1.1 SYSTEM CONFIGURATION AND INTERFACES 290
11.1.2 SYSTEM STRUCTURE 291
11.1.3 LINEAR BI-LEVEL DECISION SUPPORT PROCESS 293
11.1.4 NON-LINEAR BI-LEVEL DECISION SUPPORT PROCESS 302
11.2 A TRI-LEVEL DECISION SUPPORT SYSTEM 306
11.2.1 SYSTEM CONFIGURATION AND TRI-LEVEL DECISION
SUPPORT PROCESS 306
11.2.2 DETAILED OPERATIONAL PROCESS
AND SYSTEM INTERFACE 309
11.3 SUMMARY 314
XIV
CONTENTS
12 BI-LEVEL PROGRAMMING FOR COMPETITIVE STRATEGIC BIDDING
OPTIMIZATION IN ELECTRICITY MARKETS 315
12.1 BACKGROUND 315
12.2 BIDDING STRATEGY ANALYSIS IN COMPETITIVE
ELECTRICITY MARKETS 316
12.2.1 STRATEGIC PRICING MODEL FOR POWER PLANTS 317
12.2.2 GENERATION OUTPUT DISPATCH MODEL
FOR MARKET OPERATOR 318
12.3 BLML DECISION MODEL IN COMPETITIVE ELECTRICITY MARKETS . 319
12.4 A CASE STUDY 320
12.4.1 TEST DATA 320
12.4.2 EXPERIMENT RESULTS 321
12.4.3 EXPERIMENT ANALYSIS 323
12.5 SUMMARY 324
13 BI-LEVEL PRICING AND REPLENISHMENT IN SUPPLY CHAINS 325
13.1 BACKGROUND 325
13.2 CASE STUDY 1: HI-TECH PRODUCT PRICING AND REPLENISHMENT
STRATEGY MAKING 326
13.2.1 PROBLEM FORMULATION 326
13.2.2 EXPERIMENTS 331
13.3 CASE STUDY 2: HI-TECH PRODUCT PRICING AND REPLENISHMENT
STRATEGY MAKING WITH WEEKLY DECLINE-RATES 332
13.3.1 PROBLEM FORMULATION 332
13.3.2 EXPERIMENTS 334
13.4 SUMMARY 336
14 BI-LEVEL DECISION MAKING IN RAILWAY TRANSPORTATION
MANAGEMENT 337
14.1 CASE STUDY 1: TRAIN SET ORGANIZATION 337
14.1.1 BACKGROUND 337
14.1.2 PROBLEM FORMULATION 340
14.1.3 EXPERIMENTS 342
14.2 CASE STUDY 2: RAILWAY WAGON FLOW MANAGEMENT 344
14.2.1 BACKGROUND 344
14.2.2 PROBLEM FORMULATION 345
14.2.3 EXPERIMENTS 355
14.3 SUMMARY 356
REFERENCES 357 |
| any_adam_object | 1 |
| author | Zhang, Guangquan 1954- Lu, Jie 1957- Gao, Ya |
| author_GND | (DE-588)139508376 (DE-588)132468549 |
| author_facet | Zhang, Guangquan 1954- Lu, Jie 1957- Gao, Ya |
| author_role | aut aut aut |
| author_sort | Zhang, Guangquan 1954- |
| author_variant | g z gz j l jl y g yg |
| building | Verbundindex |
| bvnumber | BV042998009 |
| classification_rvk | QH 234 |
| ctrlnum | (OCoLC)898296722 (DE-599)DNB1063192951 |
| dewey-full | 658.403 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.403 |
| dewey-search | 658.403 |
| dewey-sort | 3658.403 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV042998009 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-10T01:56:42Z |
| institution | BVB |
| isbn | 9783662460580 9783662460597 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028423285 |
| oclc_num | 898296722 |
| open_access_boolean | |
| owner | DE-188 DE-473 DE-BY-UBG |
| owner_facet | DE-188 DE-473 DE-BY-UBG |
| physical | xvi, 377 Seiten |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| record_format | marc |
| series | Intelligent systems reference library |
| series2 | Intelligent systems reference library |
| spelling | Zhang, Guangquan 1954- Verfasser (DE-588)139508376 aut Multi-level decision making models, methods and applications Guangquan Zhang, Jie Lu, Ya Gao Heidelberg ; New York ; Dordrecht ; London Springer [2015] xvi, 377 Seiten txt rdacontent n rdamedia nc rdacarrier Intelligent systems reference library volume 82 Literaturangaben Entscheidungsfindung (DE-588)4113446-1 gnd rswk-swf Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd rswk-swf Mehrebenenoptimierung (DE-588)4634607-7 gnd rswk-swf Research UYQ Applications Of Multi-Level Decision Making Bi-Level Decision Making Multi-Level Decision Making Computational Intelligence Business Applications Entscheidungsfindung (DE-588)4113446-1 s Mehrebenenoptimierung (DE-588)4634607-7 s Entscheidungsunterstützungssystem (DE-588)4191815-0 s DE-604 Lu, Jie 1957- Verfasser (DE-588)132468549 aut Gao, Ya Verfasser aut Erscheint auch als Online-Ausgabe Zhang, Guangquan Multi-Level Decision Making Intelligent systems reference library volume 82 (DE-604)BV035704685 82 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5096968&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028423285&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhang, Guangquan 1954- Lu, Jie 1957- Gao, Ya Multi-level decision making models, methods and applications Intelligent systems reference library Entscheidungsfindung (DE-588)4113446-1 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Mehrebenenoptimierung (DE-588)4634607-7 gnd |
| subject_GND | (DE-588)4113446-1 (DE-588)4191815-0 (DE-588)4634607-7 |
| title | Multi-level decision making models, methods and applications |
| title_auth | Multi-level decision making models, methods and applications |
| title_exact_search | Multi-level decision making models, methods and applications |
| title_full | Multi-level decision making models, methods and applications Guangquan Zhang, Jie Lu, Ya Gao |
| title_fullStr | Multi-level decision making models, methods and applications Guangquan Zhang, Jie Lu, Ya Gao |
| title_full_unstemmed | Multi-level decision making models, methods and applications Guangquan Zhang, Jie Lu, Ya Gao |
| title_short | Multi-level decision making |
| title_sort | multi level decision making models methods and applications |
| title_sub | models, methods and applications |
| topic | Entscheidungsfindung (DE-588)4113446-1 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Mehrebenenoptimierung (DE-588)4634607-7 gnd |
| topic_facet | Entscheidungsfindung Entscheidungsunterstützungssystem Mehrebenenoptimierung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=5096968&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028423285&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035704685 |
| work_keys_str_mv | AT zhangguangquan multileveldecisionmakingmodelsmethodsandapplications AT lujie multileveldecisionmakingmodelsmethodsandapplications AT gaoya multileveldecisionmakingmodelsmethodsandapplications |