• 中文核心期刊要目总览
  • 中国科技核心期刊
  • 中国科学引文数据库(CSCD)
  • 中国科技论文与引文数据库(CSTPCD)
  • 中国学术期刊文摘数据库(CSAD)
  • 中国学术期刊(网络版)(CNKI)
  • 中文科技期刊数据库
  • 万方数据知识服务平台
  • 中国超星期刊域出版平台
  • 国家科技学术期刊开放平台
  • 荷兰文摘与引文数据库(SCOPUS)
  • 日本科学技术振兴机构数据库(JST)

一种对方案有偏好的区间直觉模糊多属性算法

Approach to interval-valued intuitionistic fuzzy multiple attribute decision making with preference information

  • 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.

     

    Abstract: 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.

     

/

返回文章
返回