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Cited by 744

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Fuzzy set theory

Open access
Zimmermann, H.‐J.·2010·WIREs Computational Statistics
DOI 10.1002/wics.82
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Abstract

Since its inception in 1965, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found, for example, in artificial intelligence, computer science, medicine, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, and robotics. Mathematical developments have advanced to a very high standard and are still forthcoming to day. In this review, the basic mathematical framework of fuzzy set theory will be described, as well as the most important applications of this theory to other theories and techniques. Since 1992 fuzzy set theory, the theory of neural nets and the area of evolutionary programming have become known under the name of ‘computational intelligence’ or ‘soft computing’. The relationship between these areas has naturally become particularly close. In this review, however, we will focus primarily on fuzzy set theory. Applications of fuzzy set theory to real problems are abound. Some references will be given. To describe even a part of them would certainly exceed the scope of this review. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification

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Metadata

Authors
Zimmermann, H. ‐.
Venue
WIREs Computational Statistics
Publisher
Wiley
Published
2010-05
Volume
2
Issue
3
Pages
317-332
ISSN
  • 1939-0068 (ISSN-L)
  • 1939-5108
DOI
10.1002/wics.82
OpenAlex
W2076556084
Cited by
744
References
43
FWCI
21.43
Type
journal article
Language
en
Open access
green

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