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Hybrid Expert Systems: a Survey of Current Approaches and Applications

dc.contributor.author Tolun, M. R.
dc.contributor.author Hassanpour, R.
dc.contributor.author Sahin, S.
dc.contributor.authorID 1863 tr_TR
dc.contributor.other 06.09. Yazılım Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2020-04-08T18:16:02Z
dc.date.accessioned 2025-09-18T14:09:06Z
dc.date.available 2020-04-08T18:16:02Z
dc.date.available 2025-09-18T14:09:06Z
dc.date.issued 2012
dc.description Tolun, Mehmet Resit/0000-0002-8478-7220 en_US
dc.description.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. en_US
dc.description.publishedMonth 3
dc.identifier.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) en_US
dc.identifier.doi 10.1016/j.eswa.2011.08.130
dc.identifier.issn 0957-4174
dc.identifier.issn 1873-6793
dc.identifier.scopus 2-s2.0-82255192394
dc.identifier.uri https://doi.org/10.1016/j.eswa.2011.08.130
dc.identifier.uri https://hdl.handle.net/20.500.12416/13274
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Expert Systems en_US
dc.subject Connectionist Expert Systems en_US
dc.subject Hybrid Expert Systems en_US
dc.subject Neuro-Fuzzy Expert Systems en_US
dc.subject Rough Neural Expert Systems en_US
dc.title Hybrid Expert Systems: a Survey of Current Approaches and Applications en_US
dc.title Hybrid Expert Systems: A Survey of Current Approaches and Applications tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Tolun, Mehmet Resit/0000-0002-8478-7220
gdc.author.institutional Hassanpour, Reza
gdc.author.scopusid 25926639700
gdc.author.scopusid 6603446979
gdc.author.scopusid 56086374000
gdc.author.wosid Sahin, Sevda/Lwj-1771-2024
gdc.author.wosid Tolun, Mehmet Resit/Kcj-5958-2024
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Tolun, M. R.; Hassanpour, R.] Cankaya Univ, Dept Comp Engn, Ankara, Turkey; [Sahin, S.] Baskent Univ, Dept Comp Engn, TR-06490 Ankara, Turkey en_US
gdc.description.endpage 4617 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 4609 en_US
gdc.description.volume 39 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W2021498796
gdc.identifier.wos WOS:000299583700073
gdc.openalex.fwci 8.30133212
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 110
gdc.plumx.crossrefcites 61
gdc.plumx.mendeley 392
gdc.plumx.scopuscites 137
gdc.scopus.citedcount 136
gdc.wos.citedcount 110
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