Information-gap decision theory decisions under severe uncertainty

Detalles Bibliográficos
Otros Autores: Ben-Haim, Yakov, 1952- autor (autor)
Formato: Libro
Idioma:Inglés
Publicado: San Diego, Calif. : Academic Press 2001
Colección:Series on decision and risk
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991004774849706719
Tabla de Contenidos:
  • 2 Uncertainty 9
  • 2.1 Historical Perspective 9
  • 2.2 Info-gap Uncertainty, Probability and Fuzziness 12
  • 2.3 Some Info-gap Models 16
  • 2.4 Uncertainty and Convexity 25
  • 2.5 Axioms of Info-gap Uncertainty 26
  • 2.6 Problems 27
  • 3 Robustness and Opportunity 33
  • 3.1 Robustness and Opportunity 34
  • 3.1.2 Immunity Functions 35
  • 3.1.3 Generic Decision Algorithms 37
  • 3.1.4 Multi-criterion Reward 39
  • 3.1.5 Three Components of Info-gap Decision Models 40
  • 3.1.6 Preferences 41
  • 3.1.7 Trade-offs 42
  • 3.2 Production Volume With Uncertain Costs 44
  • 3.3.1 Engineering Design: Cantilever 52
  • 3.3.2 Structural Reliability 57
  • 3.3.3 Sequential Decisions 59
  • 3.3.4 Project Management 63
  • 3.3.5 Manufacturing Process Control 69
  • 3.3.6 Portfolio Investment 73
  • 3.3.7 Search and Evasion 78
  • 3.3.8 Robustness and Opportunity 80
  • 3.4 General Robustness and Opportunity Functions 84
  • 4 Value Judgments 101
  • 4.1 Normalization 102
  • 4.2 Analogical Reasoning 104
  • 4.3 Calibration by Consequence Severity 107
  • 4.3.1 Robustness Function for Environmental Management 107
  • 4.3.2 Calibration by Consequence Severity 109
  • 4.4 Rationality and Preference 110
  • 5 Antagonistic and Sympathetic Immunities 117
  • 5.1 Immunity Functions 118
  • 5.2 Reward-coherent Action 120
  • 5.3 Vibrating Mechanical Contact 122
  • 5.4 Multi-tasking of Computer Jobs 125
  • 5.4.1 Formulation 125
  • 5.4.2 Deriving Robustness and Opportunity Functions 128
  • 5.4.3 Results 131
  • 6 Gambling and Risk Sensitivity 137
  • 6.2 Risk Sensitivity and the Robustness Curve 139
  • 6.3 Risk Sensitivity and Two Robustness Curves 141
  • 6.4 Initial Commitment and Uncertain Future 144
  • 6.4.1 Uniformly Bounded Uncertainty 146
  • 6.4.2 Bounded Fourier Uncertainty 148
  • 6.5 Risk Sensitivity, Robustness and Opportunity 149
  • 6.6 Risk-neutral Line 152
  • 6.7 Pure Competition With Uncertain Cost 155
  • 6.9 Risk Assessment in Project Management 159
  • 6.10 More on the Robustness Premium 161
  • 6.11 Robustness Premium and Resource Commitment 164
  • 7 Value of Information 173
  • 7.1 Informativeness of an Info-gap Model 174
  • 7.2 Demand Value of Information 176
  • 7.3 Uncertain Loads on a Cantilever 178
  • 7.4 Cantilever: Disjoint Info-gap Models 182
  • 7.5 Gathering Information in Project Management 184
  • 7.6 Windfall Cost of Information 185
  • 7.6.1 Formulation 186
  • 7.7 Initial Commitment and Uncertain Future: Revisited 190
  • 7.8 Allais 'Paradox' 193
  • 7.8.1 Formulation 193
  • 7.8.2 Probability Uncertainty 194
  • 7.8.3 Utility Uncertainty 197
  • 7.9 Ellsberg 'Paradox' 198
  • 7.10 Expected-utility Risk Aversion 200
  • 8 Learning 205
  • 8.1 Learning and Deciding 205
  • 8.2 Info-gap Supervision of a Classifier 207
  • 8.2.1 Robustness of a Classifier 207
  • 8.2.2 Asymptotic Robustness 208
  • 8.2.3 Robust-optimal Classifier 210
  • 8.2.4 A Proof 212
  • 8.2.5 Robust Severe Tests of Truth 213
  • 8.2.6 Updating Info-gap Models 214
  • 8.2.7 Plantar Pressures in Metatarsal Pathology 217
  • 8.3 Acoustic Noise 221
  • 8.3.1 Empirical Robustness 221
  • 8.3.2 Updating the Acoustic Uncertainty Model 223
  • 9 Coherent Uncertainties and Consensus 231
  • 9.1 Preference Preservation Under Altered Information 232
  • 9.2 Examples of Coherent Uncertainties 235
  • 9.3 Principal-agent Contract Bidding 240
  • 9.4 Proofs 244
  • 10 Retrospective Essay: Risk Assessment in Project Management 251
  • 10.1 Info-gap Uncertainty: What Is It? 252
  • 10.2 Info-gap Uncertainties in Project Management 252
  • 10.3 Robustness: Greatest Tolerable Info-gap Uncertainty 255
  • 10.4 Value Judgments: How Robust Is Robust Enough? 257
  • 10.5 Risk and the Robustness-vs.-Reward Trade-off 260
  • 10.6 Improving Robustness by Gatheringa Information 262
  • 10.7 Improving Robustness by Restructuring 263
  • 10.8 Other Face of Uncertainty: Opportunity 265
  • 10.9 Quantitative Decision Support Systems 267
  • 11 Hybrid Uncertainties 269
  • 11.1 Info-gap Uncertainty in a Poisson Process 269
  • 11.2 Embedded Probability Densities 273
  • 11.3 Probabilistic Info-gap Parameter 276
  • 12 Implications of Info-gap Uncertainty 279
  • 12.1 Holism and Uncertainty 280
  • 12.2 Language, Meaning and Uncertainty 283
  • 12.3 Warrant and Uncertainty 287
  • 12.4 Credence for Info-gap Inference 293
  • 12.4.1 Info-gap Inference and Robust Severe Tests 294
  • 12.4.2 Warrant and Credence 296
  • 12.4.3 Credibility of Info-gap Inference 299
  • 12.4.4 Info-gap Inference with the Opportunity Function 301
  • 12.5 Risk and Uncertainty 303