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Distances and Similarities in Intuitionistic Fuzzy Sets
ISBN-13:
9783319016405
Veröffentl:
2013
Seiten:
148
Autor:
Eulalia Szmidt
Serie:
307, Studies in Fuzziness and Soft Computing
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
Intuitionistic Fuzzy Sets as a Generalization of Fuzzy Sets.- Distances.- Similarity Measures between Intuitionistic Fuzzy Sets.
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