What is it about?
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.
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Why is it important?
The novel generalizations of information and divergence measures have deep applications in the natural and social sciences. The focus of this book is on applications of development in generalized measures of information and divergence in fuzzy and intuitionistic fuzzy environment to solve the problems related to the multi-criteria decision-making, linguistic variables, pattern recognition and medical diagnosis. The generalizations of information measures are fresh and well introduced; the numerical examples are quite convincing.
Perspectives
The method of pattern recognition that is used in fuzzy and intuitionistic fuzzy environment using the generalized divergence measures can be extended to other problems like handwritten character recognition, fingerprint recognition, human face recognition and classification of X‐ray images.
Prof. Ramphul Ohlan
Maharshi Dayanand University
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This page is a summary of: Generalizations of Fuzzy Information Measures, January 2016, Springer Science + Business Media,
DOI: 10.1007/978-3-319-45928-8.
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