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Generalizations of Fuzzy Information Measures

  • Book
  • © 2016

Overview

Authors:
  1. Anshu Ohlan

    1. Department of Mathematics, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India

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  2. Ramphul Ohlan

    1. Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, India

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  • Presents applications of novel findings to problems in natural sciences
  • Provides a well organized, coherent, unified, accurate and unbiased approach
  • Includes a wide spectrum of practical examples
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-ix
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  2. Fundamentals of Fuzzy Information Measures

    • Anshu Ohlan, Ramphul Ohlan
    Pages 1-22

  3. Parametric Generalized R-norm Fuzzy Information and Divergence Measures

    • Anshu Ohlan, Ramphul Ohlan
    Pages 23-52

  4. Parametric Generalized Exponential Fuzzy Divergence Measure and Strategic Decision-Making

    • Anshu Ohlan, Ramphul Ohlan
    Pages 53-69

  5. Sequence and Application of Inequalities Among Fuzzy Mean Difference Divergence Measures in Pattern Recognition

    • Anshu Ohlan, Ramphul Ohlan
    Pages 71-92

  6. Applications of Generalized Fuzzy Divergence Measure in Multi-criteria Decision-Making and Pattern Recognition

    • Anshu Ohlan, Ramphul Ohlan
    Pages 93-105

  7. Generalized Hellinger’s Fuzzy Divergence Measure and Its Applications

    • Anshu Ohlan, Ramphul Ohlan
    Pages 107-121

  8. Intuitionistic Fuzzy Exponential Divergence and Multi-attribute Decision-Making

    • Anshu Ohlan, Ramphul Ohlan
    Pages 123-142

  9. Back Matter

    Pages 143-146
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Mathematics, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India

    Anshu Ohlan

  • Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, India

    Ramphul Ohlan

Bibliographic Information

  • Book Title: Generalizations of Fuzzy Information Measures

  • Authors: Anshu Ohlan, Ramphul Ohlan

  • DOI: https://doi.org/10.1007/978-3-319-45928-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-45927-1Published: 03 November 2016

  • Softcover ISBN: 978-3-319-83401-6Published: 28 June 2018

  • eBook ISBN: 978-3-319-45928-8Published: 20 October 2016

  • Edition Number: 1

  • Number of Pages: IX, 146

  • Number of Illustrations: 7 b/w illustrations

  • Topics: Pattern Recognition, Computational Science and Engineering, Complexity, Biometrics, Applied Linguistics

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