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.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.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.relation.ispartof | Expert Systems with Applications | |
| 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.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.author.yokid | 1863 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C3 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| 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.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 26.0 | |
| gdc.oaire.influence | 1.0916675E-8 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 4.0232813E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0209 industrial biotechnology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 8.30133212 | |
| gdc.openalex.normalizedpercentile | 0.98 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 115 | |
| gdc.plumx.crossrefcites | 61 | |
| gdc.plumx.mendeley | 394 | |
| gdc.plumx.scopuscites | 138 | |
| gdc.publishedmonth | 3 | |
| gdc.scopus.citedcount | 138 | |
| gdc.virtual.author | Hassanpour, Reza | |
| gdc.virtual.author | Tolun, Mehmet Reşit | |
| gdc.wos.citedcount | 111 | |
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