Evaluation and decision models: a critical perspective
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Kluwer Acad. Publ.
2000
|
| Schriftenreihe: | International series in operations research and management science
32 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references (p. [253] - 269) and index |
| Beschreibung: | VIII, 274 S. Ill., graph. Darst. |
| ISBN: | 0792372506 |
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| 264 | 1 | |a Boston [u.a.] |b Kluwer Acad. Publ. |c 2000 | |
| 300 | |a VIII, 274 S. |b Ill., graph. Darst. | ||
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| 500 | |a Includes bibliographical references (p. [253] - 269) and index | ||
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| 650 | 7 | |a Tomada de decisão (administração executiva) |2 larpcal | |
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Datensatz im Suchindex
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| adam_text | Contents
1 Introduction 1
1.1 Motivations 1
1.2 Audience 3
1.3 Structure 3
1.4 Outline 3
1.5 Who axe the authors? 5
1.6 Conventions 6
1.7 Acknowledgements 6
2 Choosing on the basis of several opinions 7
2.1 Analysis of some voting systems 9
2.1.1 Uninominal election 9
2.1.2 Election by rankings 13
2.1.3 Some theoretical results 16
2.2 Modelling the preferences of a voter 18
2.2.1 Rankings 19
2.2.2 Fuzzy relations 22
2.2.3 Other models 23
2.3 The voting process 24
2.3.1 Definition of the set of candidates 24
2.3.2 Definition of the set of the voters 25
2.3.3 Choice of the aggregation method 25
2.4 Social choice and multiple criteria decision
support 25
2.4.1 Analogies 25
2.5 Conclusions 27
3 Building and aggregating evaluations 29
3.1 Introduction 29
3.1.1 Motivation 29
3.1.2 Evaluating students in Universities 30
3.2 Grading students in a given course 31
3.2.1 What is a grade? 31
3.2.2 The grading process 32
3.2.3 Interpreting grades 37
¦1
vi ¦
3.2.4 Why use grades? 40
3.3 Aggregating grades 41 ;
3.3.1 Rules for aggregating grades 41
3.3.2 Aggregating grades using a weighted average 43
3.4 Conclusions 52
4 Constructing measures 53
4.1 The human development index 54
4.1.1 Scale Normalisation 56
4.1.2 Compensation 57
4.1.3 Dimension independence 58
4.1.4 Scale construction 59
4.1.5 Statistical aspects 60
4.2 Air quality index 61
4.2.1 Monotonicity 62
4.2.2 Non compensation 62
4.2.3 Meaningfulness 63
4.3 The decathlon score 64
4.3.1 Role of the decathlon score 66
4.4 Indicators and multiple criteria decision
support 67
4.5 Conclusions 70
5 Assessing competing projects 73
5.1 Introduction 73
5.2 The principles of CBA 75
5.2.1 Choosing between investment projects in private firms . . 75
5.2.2 From Corporate Finance to CBA 77
5.2.3 Theoretical foundations 79
5.3 Some examples in transportation studies 82
5.3.1 Prevision of traffic 82
5.3.2 Time gains 83
5.3.3 Security gains 84
5.3.4 Other effects and remarks 85
5.4 Conclusions 86
6 Comparing on several attributes 91
6.1 Thierry s choice 91
6.1.1 Description of the case 92
6.1.2 Reasoning with preferences 95
6.2 The weighted sum 102
6.2.1 Transforming the evaluations 102
6.2.2 Using the weighted sum on the case 103
6.2.3 Is the resulting ranking reliable? 104
6.2.4 The difficulties of a proper usage of the weighted sum . . 105
6.2.5 Conclusion 109
vii
6.3 The additive value model 110
6.3.1 Direct methods for determining single attribute
value functions Ill
6.3.2 AHP and Saaty s eigenvalue method 115
6.3.3 An indirect method for assessing single attribute value
functions and trade ofls 122
6.3.4 Conclusion 128
6.4 Outranking methods 129
6.4.1 Condorcet like procedures in decision analysis 129
6.4.2 A simple outranking method 134
6.4.3 Using ELECTEE I on the case 135
6.4.4 Main features and problems of elementary outranking ap¬
proaches 144
6.4.5 Advanced outranking methods: from thresholding towards
valued relations 146
6.5 General conclusion 149
7 Deciding automatically 153
7.1 Introduction 153
7.2 A System with Explicit Decision Rules 155
7.2.1 Designing a decision system for automatic watering.... 156
7.2.2 Linking symbolic and numerical representations 156
7.2.3 Interpreting input labels as scalars 159
7.2.4 Interpreting input labels as intervals 161
7.2.5 Interpreting input labels as fuzzy intervals 167
7.2.6 Interpreting output labels as (fuzzy) intervals 171
7.3 A System with Implicit Decision Rules 176
7.3.1 Controlling the quality of biscuits during baking 176
7.3.2 Automatising human decisions by learning from examples 178
7.4 An hybrid approach for automatic decision making 181
7.5 Conclusion 183
8 Dealing with uncertainty 185
8.1 Introduction 185
8.2 The context 185
8.3 The model 186
8.3.1 The set of actions 186
8.3.2 The set of criteria 187
8.3.3 Uncertainties and scenarios 188
8.3.4 The temporal dimension 190
8.3.5 Summary of the model 192
8.4 A didactic example 192
8.4.1 The expected value approach 193
8.4.2 Some comments on the previous approach 193
8.4.3 The expected utility approach 195
8.4.4 Some comments on the expected utility approach 197
viii I
8.4.5 The approach applied in this case: first step 198 ;
8.4.6 Comment on the first step 202
8.4.7 The approach applied in this case: second step 205
8.5 Conclusions 207
9 Supporting decisions 211
9.1 Preliminaries 212
9.2 The Decision Process 213
9.3 Decision Support 216
9.3.1 Problem Formulation 217
9.3.2 The Evaluation Model 219
9.3.3 The final recommendation 225
9.4 Conclusions 233
Appendix A 235
Appendix B 238
10 Conclusion 243
10.1 Formal methods are all around us 243
10.2 What have we learned? 246
10.3 What can be expected? 249
Bibliography 253
Index 269
|
| adam_txt |
Contents
1 Introduction 1
1.1 Motivations 1
1.2 Audience 3
1.3 Structure 3
1.4 Outline 3
1.5 Who axe the authors? 5
1.6 Conventions 6
1.7 Acknowledgements 6
2 Choosing on the basis of several opinions 7
2.1 Analysis of some voting systems 9
2.1.1 Uninominal election 9
2.1.2 Election by rankings 13
2.1.3 Some theoretical results 16
2.2 Modelling the preferences of a voter 18
2.2.1 Rankings 19
2.2.2 Fuzzy relations 22
2.2.3 Other models 23
2.3 The voting process 24
2.3.1 Definition of the set of candidates 24
2.3.2 Definition of the set of the voters 25
2.3.3 Choice of the aggregation method 25
2.4 Social choice and multiple criteria decision
support 25
2.4.1 Analogies 25
2.5 Conclusions 27
3 Building and aggregating evaluations 29
3.1 Introduction 29
3.1.1 Motivation 29
3.1.2 Evaluating students in Universities 30
3.2 Grading students in a given course 31
3.2.1 What is a grade? 31
3.2.2 The grading process 32
3.2.3 Interpreting grades 37
¦1
vi '¦
3.2.4 Why use grades? 40
3.3 Aggregating grades 41 ;
3.3.1 Rules for aggregating grades 41
3.3.2 Aggregating grades using a weighted average 43
3.4 Conclusions 52
4 Constructing measures 53
4.1 The human development index 54
4.1.1 Scale Normalisation 56
4.1.2 Compensation 57
4.1.3 Dimension independence 58
4.1.4 Scale construction 59
4.1.5 Statistical aspects 60
4.2 Air quality index 61
4.2.1 Monotonicity 62
4.2.2 Non compensation 62
4.2.3 Meaningfulness 63
4.3 The decathlon score 64
4.3.1 Role of the decathlon score 66
4.4 Indicators and multiple criteria decision
support 67
4.5 Conclusions 70
5 Assessing competing projects 73
5.1 Introduction 73
5.2 The principles of CBA 75
5.2.1 Choosing between investment projects in private firms . . 75
5.2.2 From Corporate Finance to CBA 77
5.2.3 Theoretical foundations 79
5.3 Some examples in transportation studies 82
5.3.1 Prevision of traffic 82
5.3.2 Time gains 83
5.3.3 Security gains 84
5.3.4 Other effects and remarks 85
5.4 Conclusions 86
6 Comparing on several attributes 91
6.1 Thierry's choice 91
6.1.1 Description of the case 92
6.1.2 Reasoning with preferences 95
6.2 The weighted sum 102
6.2.1 Transforming the evaluations 102
6.2.2 Using the weighted sum on the case 103
6.2.3 Is the resulting ranking reliable? 104
6.2.4 The difficulties of a proper usage of the weighted sum . . 105
6.2.5 Conclusion 109
vii
6.3 The additive value model 110
6.3.1 Direct methods for determining single attribute
value functions Ill
6.3.2 AHP and Saaty's eigenvalue method 115
6.3.3 An indirect method for assessing single attribute value
functions and trade ofls 122
6.3.4 Conclusion 128
6.4 Outranking methods 129
6.4.1 Condorcet like procedures in decision analysis 129
6.4.2 A simple outranking method 134
6.4.3 Using ELECTEE I on the case 135
6.4.4 Main features and problems of elementary outranking ap¬
proaches 144
6.4.5 Advanced outranking methods: from thresholding towards
valued relations 146
6.5 General conclusion 149
7 Deciding automatically 153
7.1 Introduction 153
7.2 A System with Explicit Decision Rules 155
7.2.1 Designing a decision system for automatic watering. 156
7.2.2 Linking symbolic and numerical representations 156
7.2.3 Interpreting input labels as scalars 159
7.2.4 Interpreting input labels as intervals 161
7.2.5 Interpreting input labels as fuzzy intervals 167
7.2.6 Interpreting output labels as (fuzzy) intervals 171
7.3 A System with Implicit Decision Rules 176
7.3.1 Controlling the quality of biscuits during baking 176
7.3.2 Automatising human decisions by learning from examples 178
7.4 An hybrid approach for automatic decision making 181
7.5 Conclusion 183
8 Dealing with uncertainty 185
8.1 Introduction 185
8.2 The context 185
8.3 The model 186
8.3.1 The set of actions 186
8.3.2 The set of criteria 187
8.3.3 Uncertainties and scenarios 188
8.3.4 The temporal dimension 190
8.3.5 Summary of the model 192
8.4 A didactic example 192
8.4.1 The expected value approach 193
8.4.2 Some comments on the previous approach 193
8.4.3 The expected utility approach 195
8.4.4 Some comments on the expected utility approach 197
viii I
8.4.5 The approach applied in this case: first step 198 ;
8.4.6 Comment on the first step 202
8.4.7 The approach applied in this case: second step 205
8.5 Conclusions 207
9 Supporting decisions 211
9.1 Preliminaries 212
9.2 The Decision Process 213
9.3 Decision Support 216
9.3.1 Problem Formulation 217
9.3.2 The Evaluation Model 219
9.3.3 The final recommendation 225
9.4 Conclusions 233
Appendix A 235
Appendix B 238
10 Conclusion 243
10.1 Formal methods are all around us 243
10.2 What have we learned? 246
10.3 What can be expected? 249
Bibliography 253
Index 269 |
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| id | DE-604.BV022935042 |
| illustrated | Illustrated |
| index_date | 2024-07-02T18:56:05Z |
| indexdate | 2024-07-09T21:08:01Z |
| institution | BVB |
| isbn | 0792372506 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016139806 |
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| series2 | International series in operations research and management science |
| spelling | Evaluation and decision models a critical perspective Denis Bouyssou ... Boston [u.a.] Kluwer Acad. Publ. 2000 VIII, 274 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier International series in operations research and management science 32 Includes bibliographical references (p. [253] - 269) and index Pesquisa operacional larpcal Tomada de decisão (administração executiva) larpcal Decision making Operations research Entscheidungsmodell (DE-588)4121201-0 gnd rswk-swf Entscheidungsfindung (DE-588)4113446-1 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Entscheidungsfindung (DE-588)4113446-1 s Entscheidungsmodell (DE-588)4121201-0 s Operations Research (DE-588)4043586-6 s DE-604 Bouyssou, Denis Sonstige (DE-588)170247384 oth International series in operations research and management science 32 (DE-604)BV011630976 32 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016139806&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Evaluation and decision models a critical perspective International series in operations research and management science Pesquisa operacional larpcal Tomada de decisão (administração executiva) larpcal Decision making Operations research Entscheidungsmodell (DE-588)4121201-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd Operations Research (DE-588)4043586-6 gnd |
| subject_GND | (DE-588)4121201-0 (DE-588)4113446-1 (DE-588)4043586-6 |
| title | Evaluation and decision models a critical perspective |
| title_auth | Evaluation and decision models a critical perspective |
| title_exact_search | Evaluation and decision models a critical perspective |
| title_exact_search_txtP | Evaluation and decision models a critical perspective |
| title_full | Evaluation and decision models a critical perspective Denis Bouyssou ... |
| title_fullStr | Evaluation and decision models a critical perspective Denis Bouyssou ... |
| title_full_unstemmed | Evaluation and decision models a critical perspective Denis Bouyssou ... |
| title_short | Evaluation and decision models |
| title_sort | evaluation and decision models a critical perspective |
| title_sub | a critical perspective |
| topic | Pesquisa operacional larpcal Tomada de decisão (administração executiva) larpcal Decision making Operations research Entscheidungsmodell (DE-588)4121201-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | Pesquisa operacional Tomada de decisão (administração executiva) Decision making Operations research Entscheidungsmodell Entscheidungsfindung Operations Research |
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