CONTENTS -- Preface Jaime Gil-Aluja, Antonio Terceño -- Scientific Committee -- Organizing Committee -- INTRODUCTION -- The spanish school of fuzzy economics Jaime Gil-Aluja -- PART 1: THEORETICAL FOUNDATIONS -- Specific Max. Traveling Salesman Problems Raul O. Dichiara, Blanca I. Niel -- 1. Introduction -- 2. The proposed methodology -- 2.1. Intrinsic Geometry and Inherent Arithmetic -- 2.2. Fundamental Statements: Lemma 2.2 and Theorem 2.1 -- 3. Representative strategies of the max. traveling salesman path problems -- 4. Congruent cyclic strategies with k -- 5. Max. traveling salesman paths singled out in K k /~ -- 6. The outcome of maximum overall-length statements -- 5. Conclusion -- APPENDIX -- References -- Solving Fuzzy Mathematical Programming: A Parametric Approach Ricardo Coelho Silva,Carlos Cruz Corona, José L. Verdegay -- 1. Introduction -- 2. Fuzzy Linear Programming -- 3. Fuzzy Quadratic Programming -- 4. Parametric Convex Programming Approaches -- 4.1. Convex programming problems with fuzzy relations -- 4.2. Convex programming problems with fuzzy costs -- 5. Portfolio Selection Problem -- 6. Numerical Examples -- 6.1. Formulation of the Numerical Examples -- 6.2. Results and Analysis -- 7. Conclusions -- Acknowledgements -- References -- Study of Fuzzy Model With Constant Development Xavier Bertran, Narcís Clara, Dolors Corominas -- 1. Introduction -- 2. Fuzzy analysis based on the extension principle -- 3. Solution of the fuzzy equation -- 3.1. Case1: Equation (4) don't have any equilibrium point -- 3.1.1 Solution of = in region R1 -- 3.1.2 Solution of = in region R2 -- 3.1.3 Solution of = in region R3 -- 3.2. Case2: Equation (4) have one equilibrium point -- 3.2.1 Solution of = in region R1 -- 3.2.2 Solution of = in region R2 -- 3.2.3 Solution of = in region R3.

3.3. Case3: Equation (4) have two equilibrium points -- 3.3.1 Solution of = in region R1 -- 3.3.2 Solution of = in region R2 -- 3.3.3 Solution of = in region R3 -- 4. Conclusion -- References -- PART 2: FINANCE -- A Decision Support System for Scoring Distressed Debts and Planning their Collection Gianluca Murgia, Simone Sbrilli -- 1. INTRODUCTION -- 2. CASE STUDY AND DATASET -- 3. ANN SCORING -- 3.1. The classifier -- 3.2. The regressor -- 4. ANN RESULTS -- 4.1. ANN scoring versus other learning techniques -- 4.2. ANN results with different thresholds -- 4.3. Regressor results -- 4.4. ANN scoring test -- 4.5. The input variable relevance -- 5. OPTIMIZING DEBT COLLECTION: INFORMATION FROM THE OUTCOMES -- 5.1. AHP module -- 5.2. Hidden Markov Model for probability estimation -- 5.3. The optimizer -- 5.3.1. The planner -- 5.3.2. The allocator -- 6. CONCLUSIONS -- References -- An Assessment of Abnormal Returns in Socially Responsible Firms Using Fuzzy Jensen's Alpha Values Klender Aimer Cortez Alejandro, Martha del Pilar Rodríguez García, María Teresa Sorrosal-Forradellas -- 1. Introduction -- 2. Corporate social responsibility -- 3. Sustainability and financial performance -- 4. Abnormal returns -- 5. Fuzzy Regression model -- 6. Model estimation -- 7. Results -- 8. Conclusions -- Acknowledgments -- REFERENCES -- Return and Risk: The Spanish Public Debt Market Jose M. Brotons, Antonio Terceño, M.Gloria Barbera-Mariné -- 1. Introduction -- 2. Preliminary concepts and fuzzy introduction -- 3. Bond and portfolio's duration -- 4. The choice between active and passive bond management -- 5. Spanish public debt market -- 6. Conclusions -- 7. References -- Time Analysis of Responsibility in Finance David Ceballos -- 0. Introduction -- 1. Responsibility in Finance -- 2. Time in Finance -- 3. Greek gods of time.

4. Time analysis of responsibility in Finance -- 5. Conclusions -- 6. References -- Online Change-Point Detection in Financial Time Series: Challenges and Experimental Evidence with Frequentist and Bayesian Setups Vasile Georgescu -- 1. Challenges of Change-Point Detection in Financial Time Series -- 2. Change Point Detection in Financial Time Series: A Frequentist Sequential Approach Using Singular Spectrum Analysis -- 2.1. An Overview of Singular Spectrum Analysis -- 2.2. The SSA based change-point detection algorithm -- 2.3. Applying the SSA based change point detection algorithm to financial time series -- 3. Change Point Detection in Financial Time Series Using an Adaptive Bayesian Online Approach -- 3.1. The basic Bayesian Online Change Point Detection (BOCPD) algorithm -- 3.1.1. Specification of the model -- 3.1.2. Specification of distributions and hyper-parameters -- 3.2. The refined BOCPD model: learning the hyper-parameters -- 3.3. Applying the refined BOCPD model to financial time series -- 4. Conclusion -- References -- Application of a Fuzzy Model of Economic-Financial Diagnosis to SMEs Antonio Terceño, Hernán Vigier, Valeria Scherger -- 1. Introduction -- 2. The Diagnosis Model -- 3. The detection of causes using the Balanced Scorecard Model -- 4. Application of the model -- 1.1 Estimation of Matrix rij -- 4.2 Grouping the causes -- 4.3 Approximate solutions -- 4.4 Matrix aggregation -- 4.5 Verification -- 4.6 Forecast -- 5. Conclusions -- References -- Appendix -- PART 3: ECONOMICS AND POLITICS -- The Eurozone Crisis And The "Argentinean" Solution: Fuzzy Similarity And Default Risk Jorge Pazzi, Fernando Tohmé -- 1. Introduction -- 2. "Crisatvia" and Argentina -- 3. Counterfactual reasoning -- 4. Fuzzy similarity -- 5. Figures/Illustrations -- 6. Conclusions -- Acknowledgments -- References.

A Discrete Particle Swarm Optimization Algorithm for Designing Electoral Zones Eric A. Rincón-García, Miguel Á. Gutiérrez-Andrade, Sergio G. de-los-Cobos-Silva, Pedro Lara-Velázquez, Roman A. Mora-Gutiérrez, Antonin S. Ponsich -- 1. Introduction -- 2. Objective Function -- 3. Simulated Annealing -- 4. Particle Swarm Optimization -- 5. Discrete Particle Swarm Optimization -- 6. Computational Experiments -- 7. Results -- 8. Conclusions -- References -- Locating enterprises using a fuzzy logic-based strategy González Santoyo Federico, Flores Romero Beatriz, Flores Romero Juan José -- 1. Introduction -- 2. Enterprise location -- 3. Center of gravity method -- 4. The transport method -- 5. Case analysis -- Conclusions -- References -- A Mathematical Model of Price Stabilization in Context of Uncertainty Joan Bonet Amat, Joan Carles Ferrer Comalat, Elvira Cassu Serra, Salvador Linares Mustarós -- 1. Model Approach -- 2. Approach under parameter uncertainty -- 3. Determination of the fuzzy parameters in the rate of price growth -- 4. Determination of fuzzy curves of price and rate of price growth -- 5. Application of the model through a numerical example -- 6. Conclusions -- References -- An Stochastic Model of the Precautionary Principle María Teresa Casparri, Javier García Fronti -- 1. Introduction -- 2. The Model -- 3. The Governmental Decision -- 4. Decision in a Fuzzy Context -- 5. Conclusion -- References -- PART 4: MANAGEMENT -- An Analysis of the Quality Cost in a Business José M. Brotons Martínez, Manuel E. Sansalvador Selles -- 1. Introduction -- 2. Fuzzy concepts -- 3. Development of the proposed model -- 3.1. Introduction to the cases studied -- 3.2. Acquisition of the fuzzy number capable of synthesizing the information about the quality costs -- 3.3. Regression Analysis: Quality Cost Prediction -- 3.4. Validation -- 4. Conclusions.

5. References -- Environmental Performance Measurement in Agri-Food Companies Using Fuzzy Inference System Elena Escrig-Olmedo, María Jesús Muñoz-Torres, Juana María Rivera-Lirio, María Ángeles Fernández-Izquierdo -- 1. Introduction -- 2. Theoretical background -- 2.1. Agri-food industry and environment -- 2.2. Sustainability rating agencies -- 2.3. Fuzzy inference system -- 3. Methodology -- 3.1. Sample -- 3.2. Sustainability key indicators selection -- 3.3. Fuzzy inference system -- 4. Results -- 5. Conclusions -- Acknowledgments -- References -- Evaluation of the Quality of a Tourist Service Applied to the Case of Student Tourism Luisa L. Lazzari, Patricia Mouliá, Andrea Parma -- 1. Introduction -- 2. Fuzzy Linguistic Approach -- 3. Linguistic Model of Evaluation of the Quality of a Tourist Service -- 4. Application to the Case of Student Tourism -- 4.1. Results of the Evaluation -- 5. Final Comments -- References -- Fuzzy Analytic Hierarchy Process Approach for E-Commerce Websites Evaluation Huan Liu, Viktor V. Krasnoproshin, Shuang Zhang -- 1. Introduction -- 2. Analysis of E-commerce Websites Evaluation -- 2.1. E-commerce -- 2.2. E-commerce website -- 2.3. E-commerce website evaluation -- 2.3.1. The importance of evaluating E-commerce websites -- 2.3.2. Main methods evaluating e-commerce -- 2.3.3. Proposed methods evaluating e-commerce -- 3. Design of E-commerce Websites Evaluation Mode -- 3.1. Hierarchical structure of evaluation criteria -- 3.2. Determining weights of the evaluation criteria -- 3.2.1. General definitions and notifications -- 3.2.2. Fuzzy analytic hierarchy process -- 4. Case of FAHP to E-commerce Websites Evaluation -- 4.1. The weights calculation of the evaluation criteria -- 5. Conclusion -- References -- Analysis of Industrial Cluster Agent Relations Using Fuzzy Subrelations Antoni Vidal-Suñé, Albert Fonts-Ribas.

1. Introduction.