Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, 307, Band 307) - Hardcover

Szmidt, Eulalia

 
9783319016399: Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, 307, Band 307)

Inhaltsangabe

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.

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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.

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Weitere beliebte Ausgaben desselben Titels

9783319033020: Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing, Band 307)

Vorgestellte Ausgabe

ISBN 10:  3319033026 ISBN 13:  9783319033020
Verlag: Springer, 2015
Softcover