Generalizations of Fuzzy Information Measures (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2016
First published:	2016
Authors:	Anshu Ohlan • Ramphul Ohlan
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	146
Edition:	1st ed. 2016
ISBN-13:	978-3-319-45927-1
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-45927-9
Barcode:	9783319459271

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