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عنوان
Similarity and Compatibility in Fuzzy Set Theory

پدید آورنده
by Valerie V. Cross, Thomas A. Sudkamp.

موضوع
Artificial intelligence.,Computer science.,Data structures (Computer science).

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9783790817935
(Number (ISBN
9783790825077

NATIONAL BIBLIOGRAPHY NUMBER

Number
b408066

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Similarity and Compatibility in Fuzzy Set Theory
General Material Designation
[Book]
Other Title Information
Assessment and Applications /
First Statement of Responsibility
by Valerie V. Cross, Thomas A. Sudkamp.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Heidelberg :
Name of Publisher, Distributor, etc.
Imprint: Physica,
Date of Publication, Distribution, etc.
2002.

SERIES

Series Title
Studies in Fuzziness and Soft Computing,
Volume Designation
93
ISSN of Series
1434-9922 ;

CONTENTS NOTE

Text of Note
Introduction -- Part I. Similarity, Compatibility, and Fuzzy Set Theory: The Nature of Similarity; Historic Assessment of Compatibility; Foundations of Fuzzy Set Theory; Compatibility in Fuzzy Inference; Compatibility in Approximate Reasoning -- Part II. Taxonomy of Compatibility Measures: Set-Theoretic Measures; Proximity-Based Measures; Logic-Based Measures; Fuzzy-Valued Similarity Measures -- Part III. Empirical Analysis of Compatibility Measures: Generic Classification Domain; Set-Theoretic Comparative Study; Proximity-Based Comparative Study; Logic-Based Comparative Study; Comparison Among the Three Classes -- References.
0

SUMMARY OR ABSTRACT

Text of Note
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.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9783790825077

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Artificial intelligence.
Computer science.
Data structures (Computer science).

PERSONAL NAME - PRIMARY RESPONSIBILITY

Cross, Valerie V.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Sudkamp, Thomas A.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190307162000.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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