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Scientific Methods for the Treatment of Uncertainty in Social Sciences
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Scientific Methods for the Treatment of Uncertainty in Social Sciences
von: Jaime Gil-Aluja, Antonio Terceño-Gómez, Joan Carles Ferrer-Comalat, José M. Merigó-Lindahl, Salvador
Springer-Verlag, 2015
ISBN: 9783319197043
430 Seiten, Download: 7741 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Honorary Committee 8  
  Scientific Committee 9  
  Organizing Committee 11  
  Contents 12  
  Part IDecision Making 16  
  1 New Aggregation Methods for Decision-Making in the Selection of Business Opportunities 17  
     Abstract 17  
     1 Introduction 18  
     2 Preliminares 19  
        2.1 The OWA Operator 19  
        2.2 The OWAAC Operator 20  
        2.3 The OWAD Operator 20  
        2.4 The OWAIMAM Operator 20  
        2.5 A New Method for Dealing with the Weight of the OWA Operator 21  
     3 Decision Making Approach for Starting New Business 23  
     4 Numerical Example 24  
     5 Conclusion 30  
     References 30  
  2 Credit Analysis Using a Combination of Fuzzy Robust PCA and a Classification Algorithm 33  
     Abstract 33  
     1 Introduction 33  
     2 Classification Procedure 35  
        2.1 Fuzzy Robust Principal Component Analysis (FRPCA) 35  
        2.2 Fuzzy k-Nearest Neighbor Classifier 36  
        2.3 Similarity Classifier 37  
     3 Classification Results with an Australian Credit Screening Dataset 38  
        3.1 Results from the Australian Credit Scoring Data with FRPCA and the Similarity Classifier 38  
        3.2 Results from the Australian Credit Scoring Data with FRPCA and Fuzzy k-Nearest Neighbor Classifier 40  
        3.3 Short Discussion About the Results 41  
     4 Summary and Conclusions 42  
     References 43  
  3 Fuzzy TOPSIS for an Integrative Sustainability Performance Assessment: A Proposal for Wearing Apparel Industry 44  
     Abstract 44  
     1 Introduction 45  
     2 Fuzzy Multi-criteria Decision-Making Method (MCDM) 45  
        2.1 Fuzzy Inference System 45  
        2.2 Fuzzy TOPSIS 47  
     3 Empirical Design 48  
     4 Results 49  
     5 Conclusions 51  
     References 51  
  4 On the Orness of SUOWA Operators 53  
     Abstract 53  
     1 Introduction 53  
     2 Preliminaries 54  
     3 Choquet Integral 55  
        3.1 Weighted Means and OWA Operators 57  
        3.2 SUOWA Operators 57  
     4 Orness Measures 58  
     5 Conclusion 62  
     Acknowledgments 62  
     References 62  
  5 OWA Operators in Portfolio Selection 64  
     Abstract 64  
     1 Introduction 64  
     2 Preliminares 66  
        2.1 The OWA Operator 66  
        2.2 Portfolio Selection with Markowitz Approach 67  
     3 The OWA Operator in Portfolio Selection 69  
        3.1 Asset Return and Risk Using OWA 69  
        3.2 Portfolio Mean Return and Risk Using OWA 70  
        3.3 Investor's Criteria for Mean-OWA 72  
     4 Conclusions 73  
     References 74  
  Part IIExpert Systems and Forgotten EffectsTheory 76  
  6 Application of the Forgotten Effects Model to the Agency Theory 77  
     Abstract 77  
     1 Introduction 77  
     2 The Recuperation of Forgotten Effects in the Resolution of the Agency Problem 79  
        2.1 The Main Agency Problems (Effects) 79  
        2.2 Mechanisms to Solve the Agency Problems (Causes) 80  
        2.3 Process Work Out for the Detection of Possible Forgotten Effects 81  
     3 Results 87  
     4 Conclusions 88  
     References 89  
  7 Determining the Influence Variables in the Pork Price, Based on Expert Systems 90  
     Abstract 90  
     1 Introduction 90  
     2 The Experts 91  
     3 The Questionnaire 92  
     4 The Variables 92  
     5 The Process of Valuation from Experts and Making Expertons 93  
     6 Analyzing Results 97  
     7 Conclusions 99  
     References 101  
  8 Forgotten Effects Analysis Between the Regional Economic Activity of Michoacan and Welfare of Its Inhabitants 102  
     Abstract 102  
     1 Introduction 102  
     2 Theoretical Background 103  
     3 Methodology 105  
     4 Application of the Model 108  
     5 Results and Discussion 112  
     6 Conclusions 114  
     References 114  
  9 Interval Numbers Versus Correlational Approaches Analyzing Corporate Social Responsibility 115  
     Abstract 115  
     1 Introduction 116  
     2 Theoretical Background: CSR and Effectiveness 117  
     3 OWA Operators: UPA, UWA and UPWA 118  
     4 Procedure and Sample 118  
     5 Results and Conclusions 120  
     References 121  
  10 Second-Order Changes on Personnel Assignment Under Uncertainty 122  
     Abstract 122  
     1 Introduction 122  
     2 Methodology 123  
        2.1 Employees Commitment Level Evaluation 123  
        2.2 Fuzzy SOC 124  
     3 Study Case 129  
     4 Conclusions 133  
     References 133  
  Part IIIForecasting Models 134  
  11 Advanced Spectral Methods and Their Potential in Forecasting Fuzzy-Valued and Multivariate Financial Time Series 135  
     Abstract 135  
     1 Introduction 136  
     2 Approaches to Extracting Independent Factors from Signal Mixtures: The FastICA Algorithm 136  
     3 Singular Spectrum Analysis, Its Multivariate Extension, and the Recurrent SSA Forecasting Procedure 138  
     4 Applying MSSA to Forecasting Triangular-Shaped Fuzzy Monthly Exchange Rates 141  
     5 A Hybrid ICA-SSA Approach to Separating and Forecasting Independent Factors and then Remixing the Forecasts into the Observable Foreign Exchange Rates 142  
     6 Conclusion 146  
  12 Goodness of Aggregation Operators in a Diagnostic Fuzzy Model of Business Failure 147  
     Abstract 147  
     1 Introduction 148  
     2 The Diagnosis Model 148  
     3 Limitations of the Model 150  
     4 Grouping the Causes 150  
        4.1 The Aggregation Operators 151  
        4.2 Motion for Monitoring and Grouping of Causes 152  
     5 Goodness Index 153  
     6 Estimation of the Model 154  
     7 Empirical Verification of the Grouping 156  
     8 Conclusions 157  
     Appendix A 159  
     Appendix B 160  
     References 162  
  13 Forecasting Global Growth in an Uncertain Environment 164  
     Abstract 164  
     1 Introduction 164  
     2 Literature Review 166  
     3 Fuzzy Regression Model 167  
     4 Forecasting Model of GDP Growth Rate 168  
     5 Conclusion 170  
     References 170  
  14 Fuzzy NN Time Series Forecasting 172  
     Abstract 172  
     1 Introduction 173  
     2 Nearest Neighbour Forecasting Method 175  
        2.1 One-Step-Ahead Forecasting 175  
     3 Fuzzy Logic 176  
        3.1 Classical and Fuzzy Sets 176  
        3.2 Fuzzy Operations 176  
     4 Fuzzy Nearest Neighbours 178  
        4.1 Fuzzy Linguistic Terms 178  
        4.2 Fuzzy Rules 178  
        4.3 Learning Phase 179  
        4.4 Fuzzy Forecasting 181  
        4.5 Multi-step Simultaneous Forecasting 181  
     5 Study Case 182  
     6 Conclusions 183  
     References 183  
  Part IVFuzzy Logic and Fuzzy Sets 185  
  15 A Methodology for the Valuation of Quality Management System in a Fuzzy Environment 186  
     Abstract 186  
     1 Introduction 186  
     2 Proposed Methodology 187  
        2.1 Valuation of the Company with the ISO 9001 Quality System 187  
        2.2 Valuation of the Company Without the ISO 9001 Quality System 189  
        2.3 Valuation of the Quality System 190  
     3 Case Study 190  
        3.1 Valuation Assuming that It Has the Quality System Implementation 192  
        3.2 Valuation Assuming that It Has not the Quality System Implemented 193  
        3.3 Valuation of the ISO 9001 Quality System 194  
     4 Conclusions 195  
     References 195  
  16 A Qualitative Study to Strong Allee Effect with Fuzzy Parameters 197  
     Abstract 197  
     1 Introduction 197  
     2 Allee Effect Equation with Fuzzy Parameters 199  
     3 Examples 202  
     4 Conclusions 206  
     References 206  
  17 Distribution of Financial Resources Using a Fuzzy Transportation Model 207  
     Abstract 207  
     1 Introduction 207  
     2 Preliminaries 208  
        2.1 Classic Transportation Problem 208  
        2.2 Elements of Fuzzy Sets 209  
        2.3 Ranking Fuzzy Numbers 210  
     3 Fuzzy Transportation Problem (FTP) 210  
     4 Determining the Optimal Structure in the Financing of a Firm 213  
        4.1 Application Case 213  
     5 Final Comments 218  
     References 218  
  18 Clustering Variables Based on Fuzzy Equivalence Relations 220  
     Abstract 220  
     1 Introduction 220  
     2 Literature Review 222  
     3 Fuzzy Equivalence Relations 223  
     4 Proposed Method for Clustering Variables and Factor Analysis Based on Fuzzy Equivalence Relation 224  
        4.1 Empirical Example -- Variable Clustering 225  
        4.2 Empirical Example -- Factor Analysis 228  
     5 Some Interpretations of the Clustered Variables 230  
     6 Conclusions 230  
     Acknowledgments 230  
     References 231  
  19 Fuzzy EOQ Inventory Model With and Without Production as an Enterprise Improvement Strategy 232  
     Abstract 232  
     1 Introduction 232  
     2 Stock Costs 234  
     3 Demand Behavior 234  
     4 Classical Economic Order(ing) Quantity (EOQ) 235  
     5 Classical Economic Order(ing) Quantity (EOQ) with Production 237  
     6 Case Analysis 240  
     7 Results 240  
     8 Conclusions 241  
     9 Recommendations 242  
     References 242  
  Part VModelling and Simulation Techniques 243  
  20 A Bibliometric Overview of Financial Studies 244  
     Abstract 244  
     1 Introduction 244  
     2 Citation Structure in Finance 245  
     3 Journal Rankings 247  
     4 The Most Influential Papers in Finance 249  
     5 Conclusions 253  
     Acknowledgments 253  
     References 253  
  21 A Theoretical Approach to Endogenous Development Traps in an Evolutionary Economic System 254  
     Abstract 254  
     1 Introduction 254  
     2 ESO Systems 257  
     3 Economic Systems in Evolution 259  
     4 Economics ESO Systems 262  
        4.1 Development Traps and Unsuccessful EESO Systems 264  
     5 Discussion 265  
     References 266  
  22 ABC, A Viable Algorithm for the Political Districting Problem 267  
     Abstract 267  
     1 Introduction 268  
     2 Problem Description 269  
     3 Heuristic Algorithms 270  
        3.1 Simulated Annealing 270  
        3.2 Simulated Annealing Adaptation 271  
        3.3 Artificial Bee Colony 271  
        3.4 Artificial Bee Colony Adaptation 272  
     4 Computational Experiments 273  
     5 Conclusions 275  
     References 275  
  23 Asymmetric Uncertainty of Mortality and Longevity in the Spanish Population 277  
     Abstract 277  
     1 Introduction 278  
     2 Methodology 279  
        2.1 Factor Models 279  
     3 Data and Results 281  
     4 Conclusions 284  
  24 Joint Modeling of Health Care Usage and Longevity Uncertainty for an Insurance Portfolio 286  
     Abstract 286  
     1 Introduction 286  
     2 Data and Methods 288  
        2.1 Longitudinal Submodel: Random Intercept Model 289  
        2.2 Survival Submodel: PH Cox Model 289  
        2.3 Joint Model for Longitudinal and Survival Data 290  
     3 Results and Prediction 291  
     4 Conclusions 292  
     References 293  
  25 The Commodities Financialization As a New Source of Uncertainty: The Case of the Incidence of the Interest Rate Over the Maize Price During 1990--2014 295  
     Abstract 295  
     1 Introduction 295  
     2 Commodities Financialization 296  
     3 The Interest Rate Incidence Over the Maize Price 297  
        3.1 VAR Model 298  
        3.2 Testing and Results 299  
        3.3 Period 1990--2003 299  
        3.4 Period 2004--2014 301  
     4 Conclusions 303  
  26 The Fairness/Efficiency Issue Explored Through El Farol Bar Model 304  
     Abstract 304  
     1 Introduction 304  
     2 Efficiency of Social Choices According to the El Farol Bar Model 306  
     3 NetLogo Implementations of El Farol Bar Model 307  
        3.1 The Original El Farol Bar Problem (AG9404-Original) 309  
           3.1.1 Predictors 309  
           3.1.2 Learning System 309  
        3.2 El Farol with Weighted Predictors (FW9907-Weighted) 310  
           3.2.1 Predictors 310  
           3.2.2 Learning System 311  
        3.3 El Farol with a Cyclic Strategy (BSW9903-Cyclic) 311  
           3.3.1 Predictors 311  
           3.3.2 Learning System 311  
        3.4 El Farol with a Random Choice (FS9914-Random) 312  
           3.4.1 Predictors 312  
           3.4.2 Learning System 312  
        3.5 Discussion 312  
     4 The Fairness Issue 313  
        4.1 A Measurement of Iniquity: The Gini Coefficient 313  
        4.2 More Accurate Measurements of Efficiency and Fairness 315  
           4.2.1 Fair Quantity (FQ) and Fair Period (FP) 315  
           4.2.2 Measurement of Efficiency in the Fair Period 316  
           4.2.3 Measurement of Fairness in the Fair Period 316  
           4.2.4 Application of New Measurements of Efficiency and Fairness 317  
        4.3 A Time-Box View of Fairness 317  
     5 Conclusions and Guidelines for Future Research 320  
     6 NetLogo Models 321  
     References 322  
  Part VINeural Networks and Genetic Algorithms 323  
  27 Comparative Analysis Between Sustainable Index and Non-sustainable Index with Genetic Algorithms: Application to OECD Countries 324  
     Abstract 324  
     1 Introduction 324  
     2 RSC by Regions 325  
     3 Literature Review 326  
     4 Theoretical Framework 327  
     5 Genetic Algorithm 329  
     6 Sample 330  
     7 Software 332  
     8 Results 332  
     9 Conclusions 337  
     References 338  
  28 Sovereign Bond Spreads and Economic Variables of European Countries Under the Analysis of Self-organizing Maps 340  
     Abstract 340  
     1 Introduction 341  
     2 Literature Review 342  
     3 Methodology and Data 343  
     4 Results 344  
     5 Conclusions 349  
     References 350  
  29 Using Genetic Algorithms to Evolve a Type-2 Fuzzy Logic System for Predicting Bankruptcy 352  
     Abstract 352  
     1 Introduction 352  
     2 Type-2 Fuzzy Sets 353  
     3 Interval Type-2 Fuzzy Logic Systems 354  
        3.1 Main Components 354  
        3.2 Fuzzifier 356  
        3.3 Fuzzy Inference Engine 356  
        3.4 Type-Reducer and Defuzzifier 357  
     4 Evolving an IT2FLS by Genetic Algorithms for Predicting Bankruptcy 358  
     5 Conclusion 361  
     References 362  
  Part VIIOptimization and Control 363  
  30 Hedge for Automotive SMEs Using An Exotic Option 364  
     Abstract 364  
     1 Introduction 364  
     2 Stochastic Model 365  
     3 A Hedging Tool 368  
        3.1 Ford Motor Company 368  
        3.2 Renault 369  
        3.3 Peugeot 370  
     4 Conclusion 371  
     References 372  
  31 Obtaining Classification Rules Using LVQ+PSO: An Application to Credit Risk 373  
     Abstract 373  
     1 Introduction 374  
     2 Related Work 374  
     3 Learning Vector Quantization (LVQ) 375  
     4 Obtaining Classification Rules with Particle Swarm Optimization (PSO) 376  
     5 LVQ+PSO. Proposed Method for Obtaining Rules 377  
     6 Results 379  
     7 Conclusions 380  
     Acknowledgments 380  
     References 380  
  32 Optimization of Securitized Cash Flows for Toll Roads 382  
     Abstract 382  
     1 Introduction 383  
     2 The Selection of the Portfolio of Securitized Cash Flows 384  
        2.1 Defining the Objective Functions 384  
        2.2 Adding the Constraint Functions 389  
     3 Solving the Optimization Problem by Fuzzy Programming 390  
     4 Conclusions 393  
     References 394  
  33 SC: A Fuzzy Approximation for Nonlinear Regression Optimization 395  
     Abstract 395  
     1 Introduction 396  
     2 Nonlinear Regression 397  
     3 Fuzzy Numbers 398  
     4 SC: System of Convergence 399  
     5 Particle Swarm Optimization 400  
     6 SC-PSO-3P 401  
     7 Computational Results 402  
     8 Conclusions and Further Research 406  
     Acknowledgments 406  
     References 406  
  34 Winding Indexes at Specific Traveling Salesman Problems 408  
     Abstract 408  
     1 Introduction 408  
     2 Recapitulation of Concepts 409  
        2.1 Natural Evaluation of Euclidean Path Lengths 411  
        2.2 Resuming Terms and Definitions 411  
     3 Statements for the Winding Indexes 413  
        3.1 Winding Indexes at the Euclidean Quasi-Hamiltonian Cycles in N-Gons 418  
     4 Bistarred Hamiltonian Cycles in Coupled N-Gons 422  
     5 Existence of Bistarred Hamiltonian Polygonals in Coupled Nodd-Gons 423  
        5.1 Existence of Bistarred Quasi-Hamiltonian Cycles in Coupled Neven-Gons 426  
     6 Conclusion 427  
     References 427  
  Author Index 429  


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