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Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment
Author(s) -
Gong JiaWei,
Li Qiang,
Yin Linsen,
Liu HuChen
Publication year - 2020
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.22278
Subject(s) - benchmarking , audit , multiple criteria decision analysis , computer science , ranking (information retrieval) , fuzzy logic , quality (philosophy) , quality assurance , process (computing) , machine learning , artificial intelligence , management science , operations research , mathematics , accounting , operations management , management , engineering , philosophy , business , external quality assessment , epistemology , economics , operating system
Undergraduate teaching audit and evaluation (UTAE) is a new type of evaluation pattern, which is extremely important for a university to improve its quality assurance system and enhance teaching quality. Selecting an optimal university for benchmarking through UTAE to promote the quality of teaching can be regarded as a complex multicriteria decision making (MCDM) problem. Furthermore, in the process of UTAE, experts' evaluations over the teaching quality of universities are often imprecise and fuzzy due to the subjective nature of human thinking. In this paper, we propose a new UTAE approach based on q ‐rung orthopair fuzzy sets and the multiattribute border approximation area comparison (MABAC) method for evaluating and selecting the best university for benchmarking. The introduced method deals with the linguistic assessments given by experts by using q ‐ROFSs, assigns the weights of audit elements based on the indifference threshold‐based attribute ratio analysis method, and acquires the ranking of universities with an extended MABAC method. The feasibility and effectiveness of the proposed q ‐rung orthopair fuzzy MABAC method is demonstrated through a realistic UTAE example. Results show that the UTAE method being proposed is valid and practical for UTAE.