考虑未知属性权重的区间直觉模糊VIKOR方法

发布时间：2018-05-08 15:16

本文选题：多属性决策 + VIKOR方法　；参考：《计算机工程与应用》2017年24期

【摘要】：针对传统模糊集方法处理不确定性多属性决策问题时只考虑隶属度信息的缺点,提出了基于区间直觉模糊集的VIKOR决策方法。区间直觉模糊集用来处理区间语义评价信息。考虑属性权重未知的问题,基于区间直觉模糊数间的支持度确定属性权重,属性的支持度越高,则其权重越小。将区间直觉模糊交叉熵引入区间直觉模糊VIKOR方法用于计算区间直觉模糊数间的距离。最后以某手机设计方案评价为例,验证了所提方法的有效性。
[Abstract]:Aiming at the disadvantage that the traditional fuzzy set method only considers the membership information when dealing with uncertain multi-attribute decision problems, a VIKOR decision method based on interval intuitionistic fuzzy sets is proposed. Interval intuitionistic fuzzy sets are used to process interval semantic evaluation information. Considering the unknown attribute weight, the weight of attribute is determined based on the support degree of interval intuitionistic fuzzy number. The higher the support degree of attribute is, the smaller the weight is. Interval intuitionistic fuzzy cross entropy is introduced into interval intuitionistic fuzzy VIKOR method to calculate the distance between interval intuitionistic fuzzy numbers. Finally, the effectiveness of the proposed method is verified by the evaluation of a mobile phone design scheme.
【作者单位】：上海理工大学管理学院;
【基金】：国家自然科学基金(No.71301104) 高等学校博士学科点专项科研基金(No.20133120120002) 上海市教育委员会科研创新项目(No.14YZ088) 上海市一流学科项目(No.S1201YLXK)
【分类号】：O159;O225

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