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Hybrid Expert Systems: a Survey of Current Approaches and Applications

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Date

2012

Journal Title

Journal ISSN

Volume Title

Publisher

Pergamon-elsevier Science Ltd

Open Access Color

Green Open Access

No

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Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 1%

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Journal Issue

Abstract

This paper is a statistical analysis of hybrid expert system approaches and their applications but more specifically connectionist and neuro-fuzzy system oriented articles are considered. The current survey of hybrid expert systems is based on the classification of articles from 1988 to 2010. Present analysis includes 91 articles from related academic journals, conference proceedings and literature reviews. Our results show an increase in the number of recent publications which is an indication of gaining popularity on the part of hybrid expert systems. This increase in the articles is mainly in neuro-fuzzy and rough neural expert systems' areas. We also observe that many new industrial applications are developed using hybrid expert systems recently. (C) 2011 Elsevier Ltd. All rights reserved.

Description

Tolun, Mehmet Resit/0000-0002-8478-7220

Keywords

Expert Systems, Connectionist Expert Systems, Hybrid Expert Systems, Neuro-Fuzzy Expert Systems, Rough Neural Expert Systems

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Sahin, S.; Tolun, M. R.; Hassanpour, R. "Hybrid expert systems: A survey of current approaches and applications", Expert Systems With Applications, Vol. 39, No. 4, pp. 4609-4617, (2012)

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
115

Source

Expert Systems with Applications

Volume

39

Issue

4

Start Page

4609

End Page

4617
PlumX Metrics
Citations

CrossRef : 61

Scopus : 138

Captures

Mendeley Readers : 394

SCOPUS™ Citations

138

checked on Feb 24, 2026

Web of Science™ Citations

111

checked on Feb 24, 2026

Page Views

4

checked on Feb 24, 2026

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8.30133212

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