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Granular, Soft and Fuzzy Approaches for Intelligent Systems

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Cover of 'Granular, Soft and Fuzzy Approaches for Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 On the Meaning and the Measuring of ‘Probable’
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    Chapter 2 Organizing Families of Aggregation Operators into a Cube of Opposition
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    Chapter 3 Entropy Measures and Views of Information
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    Chapter 4 OWA Operators and Choquet Integrals in the Interval-Valued Setting
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    Chapter 5 Information Theory Applications in Soft Computing
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    Chapter 6 On Practical Applicability of the Generalized Averaging Operator in Fuzzy Decision Making
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    Chapter 7 Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimation
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    Chapter 8 Using Similarity and Dissimilarity Measures of Binary Patterns for the Comparison of Voting Procedures
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    Chapter 9 A Geo-Spatial Data Infrastructure for Flexible Discovery, Retrieval and Fusion of Scenario Maps in Preparedness of Emergency
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    Chapter 10 The Multiple Facets of Fuzzy Controllers: Look-up-Tables—A Special Class of Fuzzy Controllers
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    Chapter 11 FuzzyLP: An R Package for Solving Fuzzy Linear Programming Problems
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    Chapter 12 A Bibliometric Analysis of the Publications of Ronald R. Yager
Attention for Chapter 9: A Geo-Spatial Data Infrastructure for Flexible Discovery, Retrieval and Fusion of Scenario Maps in Preparedness of Emergency
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