摘要
基于传统的逼近理想解排序法(TOPSIS)思想,运用区间直觉模糊数的欧氏距离,给出区间直觉模糊数相对于最大区间直觉模糊数的贴近度公式,并给出区间直觉模糊数贴近度所具有的优良性质,这些性质表明贴近度作为排序指标是合理的.通过与文献中有关区间直觉模糊数排序法的对比分析,表明基于贴近度的排序方法具有更高的区分能力.运用新的排序指标提出一种区间直觉模糊多属性决策方法,并通过实例表明了所提出方法的有效性.
Based on technique for order preference by similarity to an ideal solution（TOPSIS）, by using the Euclidean distance of interval-valued intuitionistic fuzzy numbers（IVIFNs）, the relative closeness degree of an IVIFN to the maximum IVIFN is proposed, and the excellent properties of the relative closeness degree are given. The properties show that the relative closeness degree serving as the ranking index is rational. Then, compared with some other ranking methods of IVIFN in literatures, the new ranking index shows higher discrimination capability. An interval-valued intuitionistic fuzzy multiple attribute decision making method is proposed by using the new ranking index, and an example is given to illustrate the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2015年第11期2014-2018,共5页
Control and Decision
基金
国家自然科学基金项目(11071108
11361042)
江西省研究生创新专项基金项目(YC2013-B017)
江西省自然科学基金项目(20132BAB201001
20142BAB211004)
关键词
区间直觉模糊数
相对贴近度
多属性决策
interval-valued intuitionistic fuzzy number
relative closeness degree
multiple attribute decision making
