Distances and similarities in intuitionistic fuzzy sets [electronic resource] / Eulalia Szmidt.
2014
QA248
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Details
Title
Distances and similarities in intuitionistic fuzzy sets [electronic resource] / Eulalia Szmidt.
Author
Szmidt, Eulalia. author.
ISBN
9783319016405 electronic book
3319016407 electronic book
9783319016399
3319016407 electronic book
9783319016399
Published
Cham : Springer, [2014]
Language
English
Description
1 online resource (viii, 148 pages) : illustrations.
Item Number
10.1007/978-3-319-01640-5 doi
Call Number
QA248
Dewey Decimal Classification
511.3/223
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed August 20, 2013).
Series
Studies in fuzziness and soft computing ; 307.
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Table of Contents
Intuitionistic Fuzzy Sets as a Generalization of Fuzzy Sets
Distances
Similarity Measures between Intuitionistic Fuzzy Sets.
Distances
Similarity Measures between Intuitionistic Fuzzy Sets.