Similarity and Compatibility in Fuzzy Set Theory

Valerie V. Cross

ISBN 10: 379081458X / ISBN 13: 9783790814583

Verlag: Physica-Verlag, Physica-Verlag HD, Physica Feb 2002, 2002

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -Assessing the degree to which two objects, an object and a query, or two concepts are similar or compatible is a fundamental component of human reasoning and consequently is critical in the development of automated diagnosis, classification, information retrieval and decision systems. The assessment of similarity has played an important role in such diverse disciplines such as taxonomy, psychology, and the social sciences. Each discipline has proposed methods for quantifying similarity judgments suitable for its particular applications. This book presents a unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning. Examples of the application of similarity measures in various areas including expert systems, information retrieval, and intelligent database systems are provided. 209 pp. Englisch.

Bestandsnummer des Verkäufers 9783790814583

Bibliografische Details

• Titel: Similarity and Compatibility in Fuzzy Set Theory
• Verlag: Physica-Verlag, Physica-Verlag HD, Physica Feb 2002
• Erscheinungsjahr: 2002
• Sprache: Englisch
• ISBN-10: 379081458X
• ISBN-13: 9783790814583
• Einband: Buch
• Zustand: Neu
• Abmessungen: 235B x 188 H x 35 T Millimeter Breite: 235 mm, Höhe: 188 mm, Tiefe: 35 mm
• Gewicht: 456 Gramm

Über diesen Titel

Inhaltsangabe

Assessing the degree to which two objects, an object and a query, or two concepts are similar or compatible is a fundamental component of human reasoning and consequently is critical in the development of automated diagnosis, classification, information retrieval and decision systems. The assessment of similarity has played an important role in such diverse disciplines such as taxonomy, psychology, and the social sciences. Each discipline has proposed methods for quantifying similarity judgments suitable for its particular applications. This book presents a unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning. Examples of the application of similarity measures in various areas including expert systems, information retrieval, and intelligent database systems are provided.