Distances and Similarities in Intuitionistic Fuzzy Sets (Paperback, Softcover reprint of the original 1st ed. 2014)

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical concepts and practical tools for both defining and determining similarity between intuitionistic fuzzy sets. It describes an automatic algorithm for deriving intuitionistic fuzzy sets from data, which can aid in the analysis of information in large databases. The book also discusses other important applications, e.g. the use of similarity measures to evaluate the extent of agreement between experts in the context of decision making.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 307
Release date:	August 2015
First published:	2014
Authors:	Eulalia Szmidt
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	148
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-03302-0
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-03302-6
Barcode:	9783319033020

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