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Complex & intelligent systems. 2023 Mar 20:1-13. doi: 10.1007/s40747-023-01007-5 Q25.02024

Picture fuzzy Additive Ratio Assessment Method (ARAS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for multi-attribute decision problem and their application

图片模糊累加比率评估法(ARAS)和VIKOR方法在多属性决策问题中的应用及研究 翻译改进

Jianping Fan  1, Dongshuai Han  1, Meiqin Wu  1

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作者单位

  • 1 School of Economics and Management, Shanxi University, Taiyuan, 030006 China.
  • DOI: 10.1007/s40747-023-01007-5 PMID: 37361964

    摘要 Ai翻译

    The purpose of this paper is to study the multi-attribute decision-making problem under the fuzzy picture environment. First, a method to compare the pros and cons of picture fuzzy numbers (PFNs) is introduced in this paper. Second, the correlation coefficient and standard deviation (CCSD) method is used to determine the attribute weight information under the picture fuzzy environment regardless of whether the attribute weight information is partially unknown or completely unknown. Third, the ARAS and VIKOR methods are extended to the picture fuzzy environment, and the proposed PFNs comparison rules are also applied in the PFS-ARAS and PFS-VIKOR methods. Fourth, the problem of green supplier selection in a picture-ambiguous environment is solved by the method proposed in this paper. Finally, the method proposed in this paper is compared with some methods and the results are analyzed.

    Keywords: ARAS; Green supplier selection; Picture fuzzy set (PFS); The correlation coefficient and standard deviation (CCSD) method; VIKOR.

    Keywords:picture fuzzy; additive ratio assessment; multi-attribute decision-making

    Copyright © Complex & intelligent systems. 中文内容为AI机器翻译,仅供参考!

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    期刊名:Complex & intelligent systems

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    ISSN:2199-4536

    e-ISSN:2198-6053

    IF/分区:5.0/Q2

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    Picture fuzzy Additive Ratio Assessment Method (ARAS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for multi-attribute decision problem and their application