Guest Editorial : Evolving Fuzzy Systems : preface to the special section.

Angelov, Plamen and Filev, Dimitar and Kasabov, Nikola (2008) Guest Editorial : Evolving Fuzzy Systems : preface to the special section. IEEE Transactions on Fuzzy Systems, 16 (6). pp. 1390-1392. ISSN 1063-6706

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Abstract

It is a well-recognized fact that the theory of fuzzy sets and systems, for the last four decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable ability to go beyond conventional information representation. It resulted in a wide range of new formulations of practical problems, such as fuzzy control, fuzzy clustering and classification, fuzzy modeling, and fuzzy optimization [2]. Historically, the design of the fuzzy systems has been initially assumed to be centered on expert knowledge [3]. During the 1990s, a new trend emerged [4], [5] that offered techniques to make use of the experimental data. This data-centered approach can be used to enhance and validate the existing expert knowledge or can also be used to substitute its lack (as is the case with autonomous systems, for example). Neurofuzzy and hybrid learning systems were introduced, where fuzzy representation was integrated into a neural learning architecture to bring linguistic meaning of the learned information [5]. (c) IEEE Press

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Fuzzy Systems
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Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
?? artificial intelligencecomputational theory and mathematicsapplied mathematicscontrol and systems engineeringqa75 electronic computers. computer science ??
ID Code:
27070
Deposited By:
Deposited On:
29 Sep 2009 08:05
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Sep 2024 01:34