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

Szmidt, Eulalia

Hardcover

ISBN 10: 3319016393 ISBN 13: 9783319016399

Publisher: Springer, 2013

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2013
• Language: English
• ISBN 10: 3319016393
• ISBN 13: 9783319016399
• Binding: Hardcover
• Number of pages: 156