Fundamentals of Fuzzy Sets

Henri Prade

ISBN 10: 079237732X / ISBN 13: 9780792377320

Published by Springer US, Springer US Jan 2000, 2000

About this Item

Neuware -Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field.The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 674 pp. Englisch.

Seller Inventory # 9780792377320

Bibliographic Details

• Title: Fundamentals of Fuzzy Sets
• Publisher: Springer US, Springer US Jan 2000
• Publication Date: 2000
• Language: English
• ISBN 10: 079237732X
• ISBN 13: 9780792377320
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 42D millimeters 241 millimeters width by 160 millimeters height by 42 millimeters depth
• Weight: 1165 grams

About this title

Synopsis

Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field.
The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography.