摘要
针对现有直觉模糊集合间距离度量的局限性,提出一种基于加权Minkowski距离的相异度度量方法。该度量方法适合于连续论域中集合间距离的测量,而且通过引入加权参数解决了各个属性具有不同权重的实际问题,同时克服了现有IFS距离度量的缺陷,进而解决了几个特殊直觉模糊集合之间距离度量问题。通过算例分析比较,证明了该方法在现存的距离度量方法中是比较优越的。
Aiming at the limitations of existing distance measures among IFS, a new kind of dissimilarity measure method based on Minkowski distance is presented. The method is suitable for distance measures among IFS in continuous domain. Moreover, it is more suitable for solving some actual problems which have different weights by taking into account the weight of the element. At the same time, the new proposed method can not only get over several kinds of existing drawbacks of distance measures methods but also solve the problems of distance measure among some particular IFSs. Experiment results obtained from some numerical instances show the proposed method is more superior than the existing ones.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第6期1358-1361,共4页
Systems Engineering and Electronics
基金
国家自然科学基金项目(60773209)
陕西省自然科学基金项目(2006F18)资助课题
关键词
直觉模糊集
相异度
相似度
距离度量
intuitionistic fuzzy set
dissimilarity
similarity
distance measure
