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一种对方案有偏好的区间直觉模糊多属性算法 被引量:4

Approach to interval-valued intuitionistic fuzzy multiple attribute decision making with preference information
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摘要 研究了属性权重未知且决策者对属性偏好及属性值均为区间直觉模糊数的决策问题.首先提出直觉模糊熵的概念,基于决策者对属性的偏好与属性的差异及熵两个方面构建一个新模型求出属性权重,然后提出考虑属性权重的新改进型关联系数公式,通过关联系数对选项排序.最后通过对算例的分析比较说明了该方法简单及有效性. With respect to interval-valued intuitionistic fuzzy multiple attribute decision making problems with preference information on alternatives and unknown weight information,some functions and a new entropy were proposed.To gain the weights of the attributes,a new method was proposed based on the entropy and the deviation between values of the preference and values of the attributes.Next,a formula of interval-valued intuitionistic fuzzy numbers correlation coefficient with attribute weights was defined and then a method for ranking the alternatives was proposed.Finally,the method was used as an example to verify its simplicity and effectiveness.
作者 段传庆
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2015年第12期1036-1040,共5页 JUSTC
基金 中央高校基本科研业务费专项资金(J2014HGXJ0080)资助
关键词 区间直觉模糊数 偏好 关联系数 interval-valued intuitionistic fuzzy number preference entropy correlation coefficient
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参考文献16

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