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基于正切函数直觉模糊相似度量的多属性决策方法

A Multiple Attribute Design Making Method Based on Intuitionistic Fuzzy Similarity Measure of Tangent Function
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摘要 本文基于正切函数提出一种新的直觉模糊正切相似度量,并将其应用在工程方案的多属性决策中。在方案决策中,通过计算理想方案与各备选方案的相似度量值,并按计算的相似度量值作出排序,选出最佳方案。也就是说,计算出的相似度量值越大,方案就越好。应用实例表明了所提直觉模糊正切相似度量决策方法的有效性与合理性。这种决策方法为工程方案的决策提供了新的途径。 This paper proposed a new intuitionistic fuzzy tangent similarity measure based on tangent function, and then applied it to multiple attribute decision making problems of engineering alternatives. The similarity measure between ideal alternative and each other one were calculated, then we can rank the alternatives according to the similarity measure values to select the best one. In other words, the bigger the similarity measuring value is, the better the alternative is. An engineering example demonstrated that the proposed decision making method based on the tangent similarity measure was effective and reasonable.
作者 张捷
出处 《中国西部科技》 2014年第10期43-44,共2页 Science and Technology of West China
关键词 直觉模糊集 正切相似度量 多属性决策 工程方案 Intuitionistic Fuzzy Sets Tangent Similarity Measure Multiple Attribute Decision Making Engineering Alternative
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参考文献8

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