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عنوان
Interpretability issues in fuzzy modeling

پدید آورنده
J. Casillas [and others], eds.

موضوع
Fuzzy systems.,Intelligent control systems.,Soft computing.

رده
TJ217
.
5
J337
2003

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
3540370579
(Number (ISBN
3642057020
(Number (ISBN
9783540370574
(Number (ISBN
9783642057021

NATIONAL BIBLIOGRAPHY NUMBER

Number
b565796

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Interpretability issues in fuzzy modeling
General Material Designation
[Book]
First Statement of Responsibility
J. Casillas [and others], eds.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Berlin ; New York
Name of Publisher, Distributor, etc.
Springer
Date of Publication, Distribution, etc.
©2003.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
(xiv, 643 pages) : illustrations

SERIES

Series Title
Studies in fuzziness and soft computing, v. 128.

CONTENTS NOTE

Text of Note
Overview --; Improving the Interpretability with Flexible Rule Stucture --; Complexity Reduction in Linguistic Fuzzy Models --; Complexity Reduction in Precise Fuzzy Models --; Interpretability Constraints in TSK Fuzzy Rule-Based Systems --; Assessments on the Interpretability Loss --; Interpretation of Black-Box Models as Fuzzy Rule-Based Models.

SUMMARY OR ABSTRACT

Text of Note
Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.

TOPICAL NAME USED AS SUBJECT

Fuzzy systems.
Intelligent control systems.
Soft computing.

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TJ217
.
5
Book number
J337
2003

PERSONAL NAME - PRIMARY RESPONSIBILITY

J. Casillas [and others], eds.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

J Casillas

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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