Colson / de Bruyn Models and Methods in Multiple Criteria Decision Making

1. Auflage 2014
ISBN: 978-1-4832-9556-5
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band Volume 23, 242 Seiten, Web PDF

Reihe: International Series in Modern Applied Mathematics and Computer Science

This volume is devoted to models and methods in multiple objectives decision making. The importance of the multiple dimensions of decision making was first recognised during the 1960s and since then progress has been made in that theoretical or application oriented contributions may now be categorized under two main headings:- Multiattribute Decision Making (MADM) which concerns the sorting, the ranking or the evaluation of objects of choice according to several criteria and Multiobjective Decision Making (MODM) which deals with the vector optimization in mathematical programming. The above are also presented in the context of various applications, namely banking, environment, health, manpower, media, portfolio and traffic control, resulting in a book for a wide variety of readers.

Autoren/Hrsg.

Colson, G.

de Bruyn, C.

Inhaltsverzeichnis

1;Front Cover;1
2;Models and Methods in Multiple Criteria Decision Making;4
3;Copyright Page;5
4;Table of Contents;6
5;Foreword;8
6;CHAPTER 1.
MODELS AND METHODS IN MULTIPLE OBJECTIVES DECISION MAKING;10
6.1;1. MULTICRITERIA DECISION MAKING (MCDM);10
6.2;2. THE MULTIOBJECTIVE METHODS;11
6.3;3. THE MULTIATTRIBUTE METHODS;11
6.4;4. PROBLEM FORMULATIONS;12
6.5;5. APPROACHES;12
6.6;6. UNCERTAINTY;13
6.7;7. PREFERENCE MODELLING AND TYPES OF CRITERIA;14
6.8;8. THE UTILITY APPROACHES FOR THE MULTIATTRIBUTE CASE: THE SO-CALLED AMERICAN SCHOOL;17
6.9;9. THE CONTENTS OF THIS SPECIAL ISSUE;18
6.10;BIBLIOGRAPHY;19
7;PART 1: METHODOLOGY AND OVERVIEWS;21
7.1;CHAPTER 2. THE INTERACTIVE APPROACH IN MCDA: A TECHNICAL FRAMEWORK AND SOME BASIC CONCEPTIONS;22
7.1.1;1. INTRODUCTION;22
7.1.2;2. PRESENTATION OF AN INTERACTIVE PROCEDURE;22
7.1.3;3. I MPLEMENTATION OF AN INTERACTIVE PROCEDURE;25
7.1.4;4. TWO BASIC CONCEPTIONS IN THE INTERACTIVE APPROACH;26
7.1.5;5. CONCLUSION;28
7.1.6;REFERENCES;28
7.2;CHAPTER 3. DESCRIPTION AND ANALYSIS OF SOME REPRESENTATIVE INTERACTIVE MULTICRITERIA PROCEDURES;30
7.2.1;1. INTRODUCTION;30
7.2.2;2. PROBLEM STATEMENT, BASIC DEFINITIONS AND THEOREMS;30
7.2.3;3. THE STEM PROCEDURE— BENAYOUN et al. [10];33
7.2.4;4. THE GEOFFRION et al METHOD [11];34
7.2.5;5. THE EVOLVING TARGET PROCEDURE—ROY [14];36
7.2.6;6. THE ZIONTS AND WALLENIUS METHOD [15, 16];37
7.2.7;7. THE VINCKE METHOD [20];38
7.2.8;8. THE REFERENCE POINT APPROACH— WIERZBICKI [21, 22];39
7.2.9;9. THE STEUER AND CHOO METHOD [23];40
7.2.10;10. THE KORHONEN AND LAAKSO METHOD [25];41
7.2.11;11. THE JACQUET-LAGREZE et al METHOD [26];42
7.2.12;12. THE VANDERPOOTEN METHOD [28];43
7.2.13;13. GENERAL COMMENTS;45
7.2.14;REFERENCES;46
7.3;CHAPTER 4. AN EVOLUTIONARY APPROACH TO DECISION-MAKING, WITH AN APPLICATON TO MEDIA SELECTION;48
7.3.1;1. INTRODUCTION;48
7.3.2;2. AN EVOLUTIONARY APPROACH;49
7.3.3;3. AN APPLICATION TO MEDIA SELECTION;50
7.3.4;4. CONCLUSION;52
7.3.5;REFERENCES;53
7.4;CHAPTER 5. MAIN SOURCES OF INACCURATE DETERMINATION, UNCERTAINTY AND IMPRECISION IN DECISION MODELS;54
7.4.1;1. INTRODUCTION;54
7.4.2;2. THE MAP IS NOT THE TERRITORY;55
7.4.3;3. THE FUTURE IS NOT A PRESENT TO COME;56
7.4.4;4. THE DATA ARE NOT THE RESULT OF EXACT MEASUREMENT;58
7.4.5;5. A MODEL IS NOT THE DESCRIPTION OF A REAL ENTITY INDEPENDENT OF THAT MODEL;60
7.4.6;REFERENCES;62
7.5;CHAPTER 6. CONSTRUCTING AN OUTRANKING RELATION WITH ORESTE;64
7.5.1;1. INTRODUCTION;64
7.5.2;2. EARLY HISTORY OF ORESTE;64
7.5.3;3. THE BACKBONE OF ORESTE;65
7.5.4;4. INTERPRETATION OF THE THRESHOLDS;73
7.5.5;5. TRANSITIVITY OF THE GLOBAL PREFERENCE RELATION;74
7.5.6;6. CONCLUSION;77
7.5.7;REFERENCES;77
8;PART 2: COMPUTER-AIDED INVESTIGATION OF SUBJECTIVE ATTITUDES IN MCDM;78
8.1;CHAPTER 7. MARS: A MULTIATTRIBUTE UTILITY RANKING SUPPORT FOR RISK SITUATIONS WITH A "P, Q, I, R" RELATIONAL SYSTEM OF PREFERENCES;79
8.1.1;1. INTRODUCTION;79
8.1.2;2. DESCRIPTION OF THE SUPPORT MARS;81
8.1.3;3. ILLUSTRATIONS OF THE SUPPORT;92
8.1.4;4. CONCLUSIONS;107
8.1.5;REFERENCES;108
8.2;CHAPTER 8. IMPLEMENTATION OF A USER-FRIENDLY SOFTWARE PACKAGE —A GUIDED TOUR OF TRIMAP;109
8.2.1;1. TRIMAP MAIN FEATURES;109
8.2.2;2. TRIMAP IMPLEMENTATION—A GUIDED TOUR;111
8.2.3;3. SOFTWARE IMPLEMENTATION;118
8.2.4;4. CONCLUSIONS;118
8.2.5;REFERENCES;119
9;PART 3: NEW AVENUES;120
9.1;CHAPTER 9. AN INTERACTIVE DECISION SUPPORT SYSTEM (IDSS) FOR MULTICRITERIA DECISION AID;121
9.1.1;1. INTRODUCTION;121
9.1.2;2. DESCRIPTION OF THE MULTIPLE CRITERIA DECISION MODELS;122
9.1.3;3. ANALYSIS OF SEVERAL REPRESENTATIVE METHODS;125
9.1.4;4. AN INTERACTIVE DECISION SUPPORT SYSTEM (IDSS);127
9.1.5;5. COMMENTS AND CONCLUSIONS;129
9.1.6;REFERENCES;130
9.2;CHAPTER 10. EXPERT SYSTEM TECHNOLOGY AND STRATEGIC DECISION SUPPORT;131
9.2.1;1. FROM HARD TO SOFT MODELLING;131
9.2.2;2. NEGOPLAN: AN OUTLINE OF A TOO FLEXIBLE TOOL;132
9.2.3;3. APPLYING NEGOPLAN TO STRATEGIC DECISION-MAKING;136
9.2.4;4. MULTIPLE DOMAINS IN DECISION-MAKING;138
9.2.5;5. META-KNOWLEDGE AND CONTROL;140
9.2.6;6. CONCLUSIONS;141
9.2.7;REFERENCES;142
9.3;CHAPTER 11. GROUP DECISION THEORY WITH CONVEX COMBINATION OF FUZZY EVALUATIONS;145
9.3.1;1. INTRODUCTION;145
9.3.2;2. EXAMINATION OF THE "POOLING THEN PAIRING" AND "PAIRING THEN POOLING" APPROACHES;147
9.3.3;3. SUBSET OF "BEST" ACTIONS AMONG A SET OF ALTERNATIVES;149
9.3.4;4. PREFERENCE STRUCTURE (P, I) ON THE SET A;154
9.3.5;5. CONCLUSIONS;156
9.3.6;REFERENCES;156
9.4;CHAPTER 12. GROUP DECISION THEORY WITH CONVEX COMBINATION OF FUZZY EVALUATIONS;145
9.4.1;1. INTRODUCTION;145
9.4.2;2. EXAMINATION OF THE "POOLING THEN PAIRING" AND "PAIRING THEN POOLING" APPROACHES;147
9.4.3;3. SUBSET OF "BEST" ACTIONS AMONG A SET OF ALTERNATIVES;149
9.4.4;4. PREFERENCE STRUCTURE (P, I) ON THE SET A;154
9.4.5;5. CONCLUSIONS;156
9.4.6;REFERENCES;156
9.5;CHAPTER 13. ROUGH CLASSIFICATION IN INCOMPLETE INFORMATION SYSTEMS;157
9.5.1;1. INTRODUCTION;157
9.5.2;2. BASIC CONCEPTS OF THE RQUGH SETS THEORY;158
9.5.3;3. INCOMPLETE INFORMATION SYSTEM;161
9.5.4;4. GENERALIZED ROUGH CLASSIFICATION OF OBJECTS;162
9.5.5;5. NON-UNIVOCAL CLASSIFICATION OF OBJECTS;166
9.5.6;6. CONCLUSIONS;166
9.5.7;REFERENCES;167
10;PART 4: MODELS USING A SYSTEMS APPROACH;168
10.1;CHAPTER 14. AN INTEGRATED MULTIOBJECTIVE PORTFOLIO MANAGEMENT SYSTEM;169
10.1.1;1. ACTORS, OBJECTIVES AND ACTIVITIES;169
10.1.2;2. THE GLOBAL PROCESS OF THE SYSTEM;170
10.1.3;3. THE SINGLE DECISION MODEL (SDM);171
10.1.4;4. A NUMERICAL EXAMPLE OF THE SDM PROCESS;178
10.1.5;5. THE SMM;182
10.1.6;6. THE CONTROL PHASE;185
10.1.7;7. ILLUSTRATION OF THE SMM;186
10.1.8;8. CONCLUSION;187
10.1.9;REFERENCES;189
10.2;CHAPTER 15. EMBEDDING A MANPOWER OPTIMIZATION MODEL IN A MANAGERIAL ENVIRONMENT;193
10.2.1;1. INTRODUCTION;193
10.2.2;2. THE USER'S PERSPECTIVE;193
10.2.3;3. A MANPOWER PLANNING MODEL;194
10.2.4;4. SOLUTION METHODS;197
10.2.5;5. MODEL CONTROL;198
10.2.6;6. MODEL INTERFACE;200
10.2.7;REFERENCES;201
11;PART 5: BONA FIDE APPLICATIONS OF MCDM METHODS;202
11.1;CHAPTER 16. SPECIALIZATION OF HOSPITAL SERVICES IN QUEBEC: AN APPLICATION OF THE PROMETHEE AND GAIA METHODS;203
11.1.1;1. INTRODUCTION;203
11.1.2;2. POINTS-OF-VIEW OF SPECIALIZATION;204
11.1.3;3. EVALUATION;204
11.1.4;4. MULTICRITERIA METHOD;204
11.1.5;5. SENSITIVITY ANALYSIS;205
11.1.6;6. GRAPHICAL INTERPRETATION;208
11.1.7;7. CONCLUSION;210
11.1.8;REFERENCES;210
11.2;CHAPTER 17. MULTICRITERIA HIGHWAY PLANNING: A CASE STUDY;211
11.2.1;1. INTRODUCTION;211
11.2.2;2. PROBLEM PRESENTATION;211
11.2.3;3. METHODOLOGICAL APPROACHES;214
11.2.4;4. TOWARDS THE BEST HIGHWAY LOCATION;216
11.2.5;5. SUMMARY AND CONCLUSION;216
11.2.6;REFERENCES;218
11.2.7;APPENDIX;218
11.3;CHAPTER 18. MULTICRITERIA EVALUATION OF AN URBAN TRAFFIC CONTROL SYSTEM— BELGRADE CASE STUDY;221
11.3.1;1. INTRODUCTION;221
11.3.2;2. UTCS EVALUATION—PROBLEM STATEMENT;222
11.3.3;3. DETERMINATION OF WEIGHTING FACTORS;223
11.3.4;4. DETERMINATION OF GENERAL RANKING LISTS;224
11.3.5;5. BELGRADE CASE STUDY;225
11.3.6;REFERENCES;227
11.4;CHAPTER 19. A MULTI-OBJECTIVE DECISION MODEL FOR BANK ASSET/LIABILITY MANAGEMENT;229
11.4.1;1. MOTIVATION AND PROBLEM DESCRIPTION;229
11.4.2;2. THE MODEL;229
11.4.3;3. UNCERTAINTY AND TARGET RISK;235
11.4.4;4. SOLUTION ALGORITHM;237
11.4.5;5. THE DECISION SUPPORT SYSTEM IDSSBALM AND ITS APPLICATION;239
11.4.6;6. EXAMPLE;240
11.4.7;7. CONCLUSION AND FINDINGS;244
11.4.8;REFERENCES;245