A novel hybrid method for better evaluation: Evaluating university instructors teaching performance by combining conventional content analysis with fuzzy rule based systems

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dc.contributor.authorBasaran, Murat Alper
dc.contributor.authorKalayci, Nurdan
dc.contributor.authorAtay, Mehmet Tarik
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2011
dc.departmentNiğde ÖHÜ
dc.description.abstractEven though engineering and applied sciences deal with numerical data, they have successfully implemented fuzzy logic by using fuzzy rule based (FRB) systems by verbalizing data. On the other hand, social sciences such as sociology, education and physiology transform verbal type data into numerical values by using Likert type scale. Despite the fact that fuzzy set theory deals with verbal data very powerfully, social science fields in general have avoided to implement it to their verbal data up until now. One of the most active research areas in education field which generates verbal data is student evaluation of teaching (SET) questionnaires which are related to Total Quality Management applications in most of the competitive universities in the world. In this paper, we propose a novel hybrid method, which combines conventional content analysis (CCA) method and FRB systems and this new hybrid method is more suitable for the verbal data obtained from SET questionnaires. This novel CCA-FRB (conventional content analysis based fuzzy rule based systems) method uses a sample of 138 junior students from Gazi University in Turkey to implement the proposed method. (C) 2011 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2011.04.043
dc.identifier.endpage12568
dc.identifier.issn0957-4174
dc.identifier.issue10
dc.identifier.scopus2-s2.0-79957973859
dc.identifier.scopusqualityQ1
dc.identifier.startpage12565
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2011.04.043
dc.identifier.urihttps://hdl.handle.net/11480/4691
dc.identifier.volume38
dc.identifier.wosWOS:000292169500063
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFuzzy logic
dc.subjectFuzzy set
dc.subjectTriangular membership function
dc.subjectStudent evaluation of teaching
dc.subjectConventional content analysis
dc.subjectTQM
dc.titleA novel hybrid method for better evaluation: Evaluating university instructors teaching performance by combining conventional content analysis with fuzzy rule based systems
dc.typeArticle

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