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Research and Application of Fuzzy Multi Attribute Decision Making Based on Information Entropy and Grey Relevance Degree

机译:基于信息熵和灰色关联度的模糊多属性决策研究与应用

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With the development of uncertain theory,fuzzy multi attribute decision making has been applicated in more and more areas.Considering of previous fuzzy multi attribute decision methods,some were based on information entropy,some were based on grey relevance degree,etc.Information entropy is a kind of quantity of the system uncertainty and grey relevance degree can indicate the correlation strength between different things.In this paper,a new fuzzy multi attribute decision method is presented which combines information entropy with grey relevance degree,this method well overcomes the incompleteness and indeterminacy of the information,and provides a feasible way for fuzzy multi attribute decision making.Finally,the validity of this method is verified by an example.
机译:随着不确定性理论的发展,模糊多属性决策已在越来越多的领域得到应用。考虑到以前的模糊多属性决策方法,一些基于信息熵,一些基于灰色关联度等。一种系统不确定性和灰色关联度的数量可以表示不同事物之间的关联强度。本文提出了一种新的模糊多属性决策方法,将信息熵和灰色关联度相结合,很好地克服了不完备性。信息的不确定性,为模糊多属性决策提供了一种可行的方法。最后,通过实例验证了该方法的有效性。

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