A Multi Criteria Group Decision-Making Model for Teacher Evaluation in Higher Education Based on Cloud Model and Decision Tree

Autor/inn/en	Chang, Ting-Cheng; Wang, Hui
Titel	A Multi Criteria Group Decision-Making Model for Teacher Evaluation in Higher Education Based on Cloud Model and Decision Tree
Quelle	In: EURASIA Journal of Mathematics, Science & Technology Education, 12 (2016) 5, S.1243-1262 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Decision Making; Models; Teacher Evaluation; College Faculty; Criteria; Computer Uses in Education; Data Analysis; Mathematics; Foreign Countries; China + Suchen Sie Ihr Suchwort? Decision-making; Entscheidungsfindung; Analogiemodell; Teacher appraisal; Lehrerbeurteilung; Fakultät; Computernutzung; Auswertung; Mathematik; Ausland
Abstract	This paper proposes a cloud multi-criteria group decision-making model for teacher evaluation in higher education which is involving subjectivity, imprecision and fuzziness. First, selecting the appropriate evaluation index depending on the evaluation objectives, indicating a clear structural relationship between the evaluation index and objectives and establishing a proper evaluation system are all critical and fundamental tasks. Then, collect expert evaluation data, process data, establish training set to build the decision trees, extract evaluation rules, simplify evaluation process, while reducing the cost of evaluation in real applications. Third, establish the interval cloud evaluation matrix through the decision cloud, transforming the evaluation value through the cloud model, determining the order of importance of the decision program, and make the decision. Finally, an addressing linguistic decision-making problem for college teacher evaluation is provided to illustrate the effectiveness of the proposed model. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01