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A Multi-attribute Group Decision-making Method Based on a New Scoring Function and Its Application

Author(s)

Zhiyao Ding, Xiaoqian Zeng, Zixiang Wu*

Affiliation(s)

School of Business Administration, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China *Corresponding Author.

Abstract

A way of decision making is specifically designed to handle complex problems involving some decision-makers and multiple evaluation attributes. Evaluating educational performance involves multiple dimensions and requires the input of numerous experts or relevant stakeholders to avoid the subjective bias of a single decision-maker. At the same time, the evaluation process often involves uncertainty and a need for precision. Fuzzy mathematics has a natural advantage in handling uncertainty and precision. Using MAGDM in the context of fuzzy mathematics proves to be an extremely effective method. The scoring function is the final step in the evaluation and ranking process. However, in practice, some scoring functions fail, leading to unsuccessful decisions. To address this issue, a new scoring function is designed to alleviate these problems and provide more options. Experiments conducted using existing open-source data show the ability of the proposed scoring function.

Keywords

New Scoring Function, MAGDM, Fuzzy Mathematics, Evaluating Educational Performance

References

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