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An Enhanced Uncertain Framework for Multiple-Attribute Decision-Making: Application to Comprehensive Practical Teaching Quality Evaluation in Marketing Majors
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Author(s): Xiaona Wang (College of E-Commerce, Tangshan University, China)and Hong Tang (Sichuan Technology and Business College, Chengdu, China)
Copyright: 2026
Volume: 18
Issue: 1
Pages: 21
Source title:
International Journal of Decision Support System Technology (IJDSST)
Editor(s)-in-Chief: Shaofeng Liu (University of Plymouth, United Kingdom)and Guoqing Zhao (Swansea University, United Kingdom)
DOI: 10.4018/IJDSST.402019
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Abstract
The comprehensive practical teaching model for marketing majors formulates a systematic and feasible practical teaching approach from the perspective of overall program development, aiming to promote the long-term growth of the discipline and accelerate the pace of practical teaching reform. To address the multiple-attribute decision-making challenge of evaluating marketing majors' comprehensive practical teaching quality, this study leverages triangular fuzzy neutrosophic sets (TFNSs)—a robust tool for capturing uncertain information in such assessments. Building on recent applications of evaluation based on distance from average solution (EDAS) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods in multiple-attribute decision-making, a triangular fuzzy neutrosophic number EDAS (TFNN-EDAS) model integrates TFNN Hamming distance to handle TFNS-based uncertainty. The CRITIC approach is employed to derive attribute weights via TFNN Hamming distance under the TFNS framework. A numerical example focused on marketing practical teaching quality evaluation is presented, alongside comparative analyses, to validate the proposed TFNN-EDAS method's effectiveness and reliability.
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