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Study on fuzzy multiple-attribute decision making approach base on synthesizing information entropy

机译:综合信息熵的模糊多属性决策方法研究

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This paper focuses on fuzzy multiple-attribute decision with weights unknown and fuzzy information. Starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect. Through real case, all the results indicate that the fuzzy multiple-attribute decision making approach proposed can effectively merge decision preference into decision process and has better operability.
机译:本文重点介绍了对重量未知和模糊信息的模糊多属性决策。从模糊信息的结构特征开始,我们提出了基于集中式量化值的化合物量化描述模式,并建立了基于合成效果的模糊信息比较方法。通过实际情况,所有结果表明,建议的模糊多属性决策方法可以有效地将决策偏好合并到决策过程中并具有更好的可操作性。

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