Handbook of multicriteria analysis:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2010
|
| Series: | Applied optimization
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXV, 455 S. graph. Darst. 24 cm |
| ISBN: | 9783540928270 9783642263545 |
Staff View
MARC
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Record in the Search Index
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| adam_text | CONTENTS PART I ISSUES IN DECISION AIDING 1 TO BETTER RESPOND TO THE
ROBUSTNESS CONCERN IN DECISION AIDING: FOUR PROPOSAIS BASED ON A TWOFOLD
OBSERVATION 3 BERNARD ROY 1.1 THE ROBUSTNESS CONCERN IN DECISION AIDING
3 1.2 A TWOFOLD OBSERVATION 6 1.3 FIRST PROPOSAL: MOVE BEYOND THE
SCENARIO CONCEPT 7 1.4 SECOND PROPOSAL: TAKE THE WAY THAT THE DIFFERENT
VERSIONS ARE PROCESSED EXPLICITLY INTO ACCOUNT 9 1.5 THIRD PROPOSAL:
LOOK FOR OTHER DEFINITIONS FOR ROBUST SOLUTIONS 10 1.5.1 ABANDONING
THE THIRD CHARACTERISTIC FEATURE WITHOUT NECESSARILY ABANDONING THE
FIRST TWO 12 1.5.2 ABANDONING THE LAST TWO CHARACTERISTIC FEATURES
WITHOUT NECESSARILY ABANDONING THE THIRD 14 1.5.3 ABANDONING THE FIRST
OF THE THREE CHARACTERISTIC FEATURES 16 1.6 FOURTH PROPOSAL: SEEK TO
CONSTRUCT ROBUST CONCLUSIONS 17 1.6.1 DEFINITIONS 17 1.6.2 EXAMPLES 18
1.6.3 HOW CAN ROBUST CONCLUSIONS BE OBTAINED? 20 1.7 CONCLUSION 22
REFERENCES 22 2 MULTI-CRITERIA DECISION ANALYSIS FOR STRATEGIE DECISION
MAKING 25 GILBERTO MONTIBELLER AND ALBERTO FRANCO 2.1 INTRODUCTION 25
2.1.1 STRATEGIE DECISIONS AND STRATEGIE DECISION MAKING 26 2.1.2
TECHNICAL COMPLEXITY 27 2.1.3 SOCIAL COMPLEXITY 28 2.2 MCDA FOR
STRATEGIE DECISION MAKING: MODELLING CONTENT 29 2.2.1 TACKLING
UNCERTAINTY WITH FUTURE SCENARIOS 29 BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/99215586X DIGITALISIERT DURCH XVI CONTENTS 2.2.2
CONSIDERING MULTIPLE OBJECTIVES 33 2.2.3 IDENTIFYING ROBUST OPTIONS 35
2.2.4 DESIGNING ROBUST OPTIONS 37 2.2.5 DESIGNING AND APPRAISING COMPLEX
STRATEGIE OPTIONS... 38 2.2.6 CONSIDERING LONG TERM CONSEQUENCES 39 2.3
MCDA FOR STRATEGIE DECISION MAKING: FACILITATING PROCESS 40 2.3.1
FACILITATED DECISION MODELLING 41 2.3.2 BECOMING A FACILITATIVE DECISION
MODELLER 42 2.4 CONCLUSIONS 44 REFERENCES 45 PART II MULTIPLE CRITERIA
DECISION AID METHODOLOGIES 3 ELECTRE METHODS: MAIN FEATURES AND RECENT
DEVELOPMENTS 51 JOSE RUI FIGUEIRA, SALVATORE GRECO, BERNARD ROY, AND
ROMAN SLOWIRISKI 3.1 INTRODUCTION 52 3.1.1 THE CONSTRUCTIVIST CONCEPTION
OF MCDA 52 3.1.2 NOTATION 55 3.2 MAIN FEATURES 55 3.2.1 MODELING FOUR
MAIN PREFERENCE SITUATIONS 55 3.2.2 PREFERENCE MODELING THROUGH
OUTRANKING RELATIONS 56 3.2.3 THE CONCEPTS OF CONCORDANCE AND
DISCORDANCE 58 3.2.4 STRUCTURE 59 3.2.5 STRONG FEATURES 62 3.2.6
WEAKNESSES 65 3.2.7 A DISCUSSION OF THE WEAK AND THE STRONG POINTS OF
ELECTRE METHODS 67 3.3 RECENT DEVELOPMENTS 68 3.3.1 METHODOLOGICAL
DEVELOPMENTS 68 3.3.2 IMPROVEMENTS AND NEW APPROACHES 71 3.3.3 AXIOMATIC
AND MEANINGFULNESS ANALYSIS 77 3.3.4 OTHER ASPECTS 83 3.4 CONCLUDING
REMARKS 85 REFERENCES 86 4 THE ANALYTIC HIERARCHY AND ANALYTIC NETWORK
MEASUREMENT PROCESSES CONTENTS XVII 4.5 AN EXAMPLE: THE HOSPICE PROBLEM
106 4.5.1 JUDGMENTS AND COMPARISONS 110 4.6 ABSOLUTE MEASUREMENT -
RATING ALTERNATIVES ONE AT A TIME 114 4.7 ON THE ADMISSION OF CHINA TO
THE WORLD TRADE ORGANIZATION (WTO) [4] 117 4.8 NETWORKS, DEPENDENCE AND
FEEDBACK [2,5] 120 4.8.1 ANP FORMULATION OF THE CLASSIC AHP SCHOOL
EXAMPLE .. 124 4.9 MARKET SHARE EXAMPLES MAINLY TO JUSTIFY WITH EXISTING
MEASUREMENTS SUBJECTIVE JUDGMENT THAT DOES NOT REFER TO ANY NUMERICAL
DATA 125 4.9.1 AN ANP NETWORK WITH A SINGLE CONTROL CRITERION - MARKET
SHARE 125 4.9.2 COMPATIBILITY INDEX 126 4.9.3 EXAMPLE 1: ESTIMATING THE
RELATIVE MARKET SHARE OF WALMART, KMART AND TARGET 127 4.9.4 EXAMPLE 2:
ESTIMATING RELATIVE MARKET SHARE OF AIRLINES (CLOSE OUTCOME) 132 4.10
OUTLINE OF STEPS OF THE ANP 133 4.11 A COMPLETE BOCR EXAMPLE 135 4.11.1
INTRODUCTION / BACKGROUND 135 4.11.2 ULTIMATE GOAL FOR DISNEY 136 4.11.3
MAIN MODEL 136 4.12 DECISION ON NATIONAL MISSILE DEFENSE (NMD) - AN
APPLICATION OF THE ANP WITH STRONG RISKS (ANALYSIS DONE IN 2000,
DECISION MADE TO IMPLEMENT IN DECEMBER 2002) 144 4.12.1 CRITERIA AND
DECISION NETWORKS [5] 146 4.12.2 FUELL DEVELOPMENT OF THE ANALYSIS WITH
RESPECT TO A SINGLE CRITERION 146 4.12.3 BOCR WEIGHT DEVELOPMENT 155
4.13 GROUP DECISION MAKING [3,6,9] 160 4.13.1 HOW TO AGGREGATE
INDIVIDUAL JUDGMENTS 160 4.13.2 ON THE CONSTRUCTION OF GROUP CHOICE FROM
INDIVIDUAL CHOICE CONTENTS 5.2.4 DECISION RULES 173 5.2.5 MANAGEMENT OF
INCONSISTENCIES 175 5.2.6 DOMINANCE STRUCTURES, DECISION RULES AND RANK
REVERSAIS 176 5.3 CASE STUDIES AND DECISION SUPPORT TOOLS 178 5.4
EXPERIENCES FROM APPLICATIONS 179 5.5 GUIDELINES FOR APPLICATIONS 181
5.6 OUTSTANDING RESEARCH QUESTIONS 182 5.7 CONCLUSION 183 REFERENCES 184
NEW TRENDS IN AGGREGATION-DISAGGREGATION APPROACHES 1 89 YANNIS SISKOS
AND EVANGELOS GRIGOROUDIS 6.1 INTRODUCTION 189 6.2 THE UTA FAMILY OF
MODELS 192 6.2.1 UTA AND UTASTAR METHODS 192 6.2.2 EXTENSIONS OF THE UTA
METHOD 193 6.3 POST-OPTIMALITY ANALYSIS AND ROBUSTNESS 195 6.3.1
POST-OPTIMALITY ANALYSIS 195 6.3.2 ROBUSTNESS IN UTA-TYPE MODELS 196
6.3.3 BUILDING PREFERENCE RELATIONS 203 6.4 GROUP AND COLLECTIVE
DECISION APPROACHES 206 6.5 CONCLUSIONS AND FUTURE RESEARCH 211
REFERENCES 212 DISAGGREGATION ANALYSIS AND STATISTICAL LEARNING: AN
INTEGRATED FRAMEWORK FOR MULTICRITERIA DECISION SUPPORT 215 MICHAEL
DOUMPOS AND CONSTANTIN ZOPOUNIDIS 7.1 INTRODUCTION 215 7.2 THE
DISAGGREGATION APPROACH IN MCDA 217 7.2.1 GENERAL FRAMEWORK 217 7.2.2
METHODS AND IMPLEMENTATIONS 218 7.3 STATISTICAL LEARNING AND DATA MINING
221 7.3.1 GENERAL FRAMEWORK 221 7.3.2 METHODS 222 7.3.3 NEURAL NETWORKS
222 7.3.4 DECISION TREES AND RULE-BASED MODELS 223 7.3. CONTENTS XIX
PART III MULTIOBJECTIVE OPTIMIZATION 8 MULTIOBJECTIVE OPTIMIZATION,
SYSTEMS DESIGN AND DE NOVO PROGRAMMING 243 MILAN ZELENY 8.1 INTRODUCTION
243 8.2 WHAT IS MULTIOBJECTIVE OPTIMIZATION? 244 8.2.1 WHAT IS
OPTIMIZATION? 246 8.3 TRADEOFFS-BASED VERSUS TRADEOFFS-FREE THINKING 248
8.3.1 PARETO-EFFICIENCY 250 8.4 OPTIMAL SYSTEMS DESIGN 250 8.4.1 PROFIT
MAXIMIZATION 252 8.5 FOUNDATIONS OF DE NOVO PROGRAMMING 253 8.5.1
MULTIPLE CRITERIA DE NOVO PROGRAMMING 255 8.6 EXAMPLES OF APPLICATIONS
256 8.6.1 COMPROMISE PROGRAMMING 257 8.6.2 RISK MANAGEMENT 257 8.6.3
CONFLICT DISSOLUTION 259 8.6.4 ADDED VALUE 260 8.7 CONCLUSIONS 262
REFERENCES 262 9 INTERACTIVE MULTIPLE OBJECTIVE PROGRAMMING METHODS 263
PEKKA KORHONEN AND JYRKI WALLENIUS 9.1 INTRODUCTION 263 9.2 BASIC
DEFINITIONS AND SOME THEORY 264 9.3 PRINCIPLES FOR IMPLEMENTING
INTERACTIVE METHODS 266 9.4 GENERATING NONDOMINATED SOLUTIONS 270 9.4.1
A LINEAR SCALARIZING FUNCTION 270 9.4.2 A CHEBYSHEV-TYPE SCALARIZING
FUNCTION 271 9.5 SOLVING MULTIPLE OBJECTIVE PROBLEMS 273 9.5.1
PROPERTIES OF A GOOD MULTIPLE CRITERIA DECISION SUPPORT SYSTEM 274 9.5.2
ROLE OF INTERFACE 275 9.6 FINAL SOLUTION 276 9.7 EXAMPLES OF SOFTWARE
SYSTEMS: VIG AND VIMDA 277 9.7.1 VIG 277 9.7.2 VIMDA 280 9. XX CONTENTS
10.2.2 ADDRESSING MULTI-OBJECTIVES 292 10.3 MULTI-OBJECTIVE EVOLUTIONARY
ALGORITHMS 295 10.3.1 REDUCED PARETO SET GENETIC ALGORITHM (RPSGA) 296
10.3.2 RECENT DEVELOPMENTS 298 10.4 APPLICATIONS 300 10.4.1 ENGINEERING
300 10.4.2 INDUSTRIAL 302 10.4.3 ECONOMICS AND MANAGEMENT 304 10.4.4
OTHER APPLICATIONS 305 10.5 CONCLUSIONS 306 REFERENCES 307 11 GOAL
PROGRAMMING: FROM CONSTRAINED REGRESSION TO BOUNDED RATIONALITY THEORIES
311 JACINTO GONZAELEZ-PACHOEN AND CARLOS ROMERO 11.1 A HISTORICAL SKETCH
311 11.2 GOAL PROGRAMMING AND BOUNDED RATIONALITY THEORIES 312 11.3 SOME
BASIC GOAL PROGRAMMING MODELS 313 11.4 A UTILITY INTERPRETATION OF A
GOAL PROGRAMMING MODEL 316 11.5 SOME EXTENSIONS OF THE TRADITIONAL
ACHIEVEMENT FUNCTIONS 316 11.6 SOME CRITICAL ISSUES AND EXTENSIONS 318
11.6.1 PARETIAN EFFICIENCY AND GP 318 11.6.2 THE SELECTION OF
PREFERENTIAL WEIGHTS IN GP 319 11.6.3 REDUNDANCY IN LGP 319 11.6.4 LINKS
BETWEEN GP AND OTHER MCDM APPROACHES 320 11.7 OTHER TOPICS 321 11.7.1
INTERACTIVE GP 321 11.7.2 GP AND ARTIFICIAL INTELLIGENCE 321 11.7.3 GP
AND THE AGGREGATION OF INDIVIDUAL PREFERENCES 321 11.7.4 STOCHASTIC GP
322 11.7.5 FUZZY GP 322 11.7.6 GP AND DATA ENVELOPMENT ANALYSIS 322 11.8
CONCLUSIONS AND AREAS FOR FUTURE RESEARCH 323 APPENDIX 323 REFERENCES
325 1 CONTENTS XXI 12.4 COORDINATION OF OBJECTIVE DECOMPOSITIONS 350
12.4.1 TRADEOFF-BASED AND 2D DECISION-MAKING 350 12.4.2 MULTISCENARIO
MULTIOBJECTIVE OPTIMIZATION 354 12.5 SUMMARY 355 REFERENCES 356 PART IV
APPLICATIONS 13 APPLYING THE EPISSURE APPROACH FOR THE EVALUATION OF
BUSINESS SPONSORSHIP PERFORMANCE 369 STEPHANE ANDRE AND BERNARD ROY 13.1
INTRODUCTION 369 13.2 THE EPISSURE APPROACH 370 13.2.1 THE OUTLINE OF
THE APPROACH 370 13.2.2 THE TOOLS FOR THE APPROACH 372 13.2.3 THE FRAMED
DIALOGUE PROCESS 377 13.2.4 THE SET-UP STAGES OF THE EPISSURE APPROACH
378 13.3 TESTING AND IMPLEMENTING EPISSURE IN COMPANIES, FOR SPONSORSHIP
PROJECTS 380 13.3.1 PRESENTATION OF THE SELECTED COMPANIES 381 13.3.2
FRAMING THE DIALOGUE APPROACH (STAGE NO. 1.1) 382 13.3.3 TAILORING THE
SYNTHESIS TOOLS (STAGE NO. 1.2) 386 13.3.4 DIALOGUE SEQUENCE (STAGE NO.
2) 390 13.3.5 VALIDATION AND IMPLEMENTATION OF THE EPISSURE APPROACH
(STAGE NO. 3) 397 13.4 OBSERVED RESULTS 397 13.5 CONCLUSION 402
REFERENCES 403 14 OPTIMAL CAPITAL STRUCTURE 405 MARC B.J. SCHAUTEN AND
JAAP SPRONK 14.1 INTRODUCTION 405 14.2 MAXIMIZING SHAREHOLDER VALUE 407
14.3 OTHER OBJECTIVES AND CONSIDERATIONS 412 14.4 CAPITAL STRUCTURE AS
MULTIPLE CRITERIA DECISION PROBLEM 417 14.5 SUMMARY 420 REFERENCE XXII
CONTENTS 15.3.2 MCDA IN B2C E-COMMERCE 439 15.3.3 EXAMPLES OF MCDA
APPLICATIONS IN E-COMMERCE 441 15.4 CONCLUSIONS 445 REFERENCES 445 INDEX
449
|
| any_adam_object | 1 |
| author2 | Zopounidis, Constantin 1958- |
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| author_GND | (DE-588)115594213 |
| author_facet | Zopounidis, Constantin 1958- |
| building | Verbundindex |
| bvnumber | BV035344154 |
| classification_rvk | QH 233 SK 970 |
| ctrlnum | (OCoLC)669172565 (DE-599)DNB99215586X |
| dewey-full | 658.4034 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4034 |
| dewey-search | 658.4034 |
| dewey-sort | 3658.4034 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Mathematik Wirtschaftswissenschaften |
| format | Book |
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| indexdate | 2024-07-09T21:31:45Z |
| institution | BVB |
| isbn | 9783540928270 9783642263545 |
| language | English |
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| record_format | marc |
| series2 | Applied optimization |
| spelling | Handbook of multicriteria analysis ed. by Constantin Zopounidis ... Berlin [u.a.] Springer 2010 XXV, 455 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Applied optimization Multikriteria-Entscheidung (DE-588)4126083-1 gnd rswk-swf Mehrkriterielle Optimierung (DE-588)4610682-0 gnd rswk-swf Entscheidungsfindung (DE-588)4113446-1 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Entscheidungsfindung (DE-588)4113446-1 s Operations Research (DE-588)4043586-6 s Mehrkriterielle Optimierung (DE-588)4610682-0 s DE-604 Multikriteria-Entscheidung (DE-588)4126083-1 s DE-188 Zopounidis, Constantin 1958- (DE-588)115594213 edt Erscheint auch als Online-Ausgabe 978-3-540-92828-7 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017148411&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Handbook of multicriteria analysis Multikriteria-Entscheidung (DE-588)4126083-1 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd Operations Research (DE-588)4043586-6 gnd |
| subject_GND | (DE-588)4126083-1 (DE-588)4610682-0 (DE-588)4113446-1 (DE-588)4043586-6 (DE-588)4143413-4 |
| title | Handbook of multicriteria analysis |
| title_auth | Handbook of multicriteria analysis |
| title_exact_search | Handbook of multicriteria analysis |
| title_full | Handbook of multicriteria analysis ed. by Constantin Zopounidis ... |
| title_fullStr | Handbook of multicriteria analysis ed. by Constantin Zopounidis ... |
| title_full_unstemmed | Handbook of multicriteria analysis ed. by Constantin Zopounidis ... |
| title_short | Handbook of multicriteria analysis |
| title_sort | handbook of multicriteria analysis |
| topic | Multikriteria-Entscheidung (DE-588)4126083-1 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | Multikriteria-Entscheidung Mehrkriterielle Optimierung Entscheidungsfindung Operations Research Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017148411&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT zopounidisconstantin handbookofmulticriteriaanalysis |