Mathematical and Computational Applications | |
A Multiple Attribute Decision-Making Method Based on Exponential Fuzzy Numbers | |
Fu, Sha1  | |
关键词: exponential fuzzy number; fuzzy multiple attribute decision making; expected value; weighted distance; relative closeness; | |
DOI : 10.3390/mca21020019 | |
学科分类:计算数学 | |
来源: mdpi | |
【 摘 要 】
Regarding the multi-attribute decision-making problem where both the attribute value and attribute weight of a scheme are exponential fuzzy numbers, this paper proposes a fuzzy multiple attribute decision-making method based on exponential fuzzy numbers. The expected value and variance of the exponential fuzzy number were calculated according to the definitions of expectation and variance in probability theory. By comprehensively considering factors such as expected value, variance, and attitude preference of the decision-maker, this paper gave the score function of the exponential fuzzy number, based on which the accurate attribute weight can be determined. Subsequently, based on the distance measure between exponential fuzzy numbers, the distance was calculated between each scheme and the positive/negative ideal scheme, respectively, and the relative closeness of each scheme was solved; based on this, sorting and prioritizing were conducted. Finally, the feasibility and effectiveness of the proposed method were verified through case analysis.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201902025273726ZK.pdf | 205KB | download |