Statistical and soft computing approaches in insurance problems

7. Review: Computational Intelligence Algorithms in Insurance Problems8. Some Experiments and Results: Prediction of Vehicles Accidents from Drivers and Cars' Data Using Soft-Computing Techniques; 9. Conclusion; Acknowledgment; References; Chapter 2: ROUGH SETS IN INSURANCE SECTOR; Abstract; 1. Introduction: Artificial Intelligence and Insurance Sector; 2. Rough Set Theory; 3. Rough Set in Insurance Sector; 4. Conclusion; Acknowledgment; References.

Intro -- STATISTICAL AND SOFT COMPUTING APPROACHES IN INSURANCE PROBLEMS -- STATISTICAL AND SOFT COMPUTING APPROACHES IN INSURANCE PROBLEMS -- LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA -- CONTENTS -- FOREWORD -- Chapter 1: A REVIEW OF COMPUTATIONAL INTELLIGENCE ALGORITHMS IN INSURANCE APPLICATIONS -- Abstract -- 1. Introduction -- 2. Fuzzy Logic-Based Computation -- 3. Neural Computation-Based and Related Algorithms -- 4. Evolutionary Computation-Based Algorithms -- 5. Physics-Inspired Methods -- 6. Computation Inspired by the Collective Behavior of Social Living Beings -- 7. Review: Computational Intelligence Algorithms in Insurance Problems -- 8. Some Experiments and Results: Prediction of Vehicles Accidents from Drivers and Cars' Data Using Soft-Computing Techniques -- 9. Conclusion -- Acknowledgment -- References -- Chapter 2: ROUGH SETS IN INSURANCE SECTOR -- Abstract -- 1. Introduction: Artificial Intelligence and Insurance Sector -- 2. Rough Set Theory -- 3. Rough Set in Insurance Sector -- 4. Conclusion -- Acknowledgment -- References -- Chapter 3: PREDICTION OF CLAIMS AND SELECTION OF RISK FACTORS IN AUTOMOBILE INSURANCE USING SUPPORT VECTOR MACHINES, GENETIC ALGORITHMS AND CLASSIFICATION TREES -- Abstract -- 1. Introduction -- 2. Problem Definition -- 3. The Algorithm -- 4. Results and Comparative -- 5. Concluding Remarks and Further Studies -- Acknowledgment -- References -- Chapter 4: TAIL VALUE AT RISK. AN ANALYSIS WITH THE NORMAL-POWER APPROXIMATION -- Abstract -- 1. Introduction -- 2. Tail Value at Risk for the Normal-Power Approximation -- 3. Analysis of the Precision of the Approximation -- 4. Insurance and Credit Risk Application -- 5. Conclusion -- Acknowledgment -- Appendix -- References -- Chapter 5: FINANCIAL APPLICATIONS OF MODAL INTERVAL ANALYSIS -- Abstract -- 1. The Set of Classical Intervals.