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An Extended EDAS Based on Multi-Attribute Group Decision Making to Evaluate Mathematics Teachers With Single-Valued Trapezoidal Neutrosophic Numbers

Irvanizam Irvanizam, Novi Zahara

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Source: Crossref

Published: Jun 30, 2023

DOI: 10.4018/978-1-6684-7836-3.ch003

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The chapter proposed an extended evaluation based on the distance from average solution (EDAS) method based on single-valued trapezoidal neutrosophic numbers (SVTraNNs) for applying it in education sectors. To explain its concept, a teaching quality evaluation is depicted as a process consisting of a committee of teaching performance assessments and a group of mathematics teachers working at a school. The teaching performance assessments were properly interpreted for appropriate evaluation and given by the committee. The chapter first provides the concepts of SVTraNNs which are generalization of fuzzy numbers and intuitionistic fuzzy numbers. Second, the chapter discusses some SVTraNNs operations and their aggregation operators. Third, the chapter proposes an extended EDAS based on SVTraNNs to handle multi-attribute group decision-making problems. Next, the chapter illustrates a case study of mathematics teaching quality evaluation using the proposed EDAS to select the best teacher. Finally, comparison and sensitive analyses show the capability and effectiveness of the proposed EDAS.

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An Extended EDAS Based on Multi-Attribute Group Decision Making to Evaluate Mathematics Teachers With Single-Valued Trapezoidal Neutrosophic Numbers — Mathematical Frontier Network