Generalizations of Fuzzy Information Measures
Authors: Ohlan, Anshu, Ohlan, Ramphul
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- Provides a well organized, coherent, unified, accurate and unbiased approach
- Includes a wide spectrum of practical examples
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- About this book
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This book develops applications of novel generalizations of fuzzy information measures in the field of pattern recognition, medical diagnosis, multi-criteria and multi-attribute decision making and suitability in linguistic variables. The focus of this presentation lies on introducing consistently strong and efficient generalizations of information and information-theoretic divergence measures in fuzzy and intuitionistic fuzzy environment covering different practical examples. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.
- Table of contents (7 chapters)
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Fundamentals of Fuzzy Information Measures
Pages 1-22
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Parametric Generalized R-norm Fuzzy Information and Divergence Measures
Pages 23-52
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Parametric Generalized Exponential Fuzzy Divergence Measure and Strategic Decision-Making
Pages 53-69
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Sequence and Application of Inequalities Among Fuzzy Mean Difference Divergence Measures in Pattern Recognition
Pages 71-92
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Applications of Generalized Fuzzy Divergence Measure in Multi-criteria Decision-Making and Pattern Recognition
Pages 93-105
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Table of contents (7 chapters)
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- Download Table of contents PDF (133.6 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Generalizations of Fuzzy Information Measures
- Authors
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- Anshu Ohlan
- Ramphul Ohlan
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-45928-8
- DOI
- 10.1007/978-3-319-45928-8
- Hardcover ISBN
- 978-3-319-45927-1
- Softcover ISBN
- 978-3-319-83401-6
- Edition Number
- 1
- Number of Pages
- IX, 146
- Number of Illustrations
- 7 b/w illustrations
- Topics
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