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Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, 307) by Eulalia Szmidt (auth.) is a nonfiction available to read on EtoBox.

What is Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, 307) about?

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.

Who reads Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, 307)?

Author

Eulalia Szmidt (auth.)

Publisher

Springer International Publishing : Imprint : Springer

Published

2014

Language

EN

ISBN

9783319016399

Category

nonfiction

Subjects

Science, Engineering, Business