Interval-valued intuitionistic fuzzy approximate reasoning based on a new similarity measure

被引：0
作者：
Zhang, Qiansheng [1 ]
Jiang, Shengyi [1 ]
机构：
[1] Guangdong Univ Foreign Studies, Sch Informat Sci & Technol, Guangzhou 510420, Guangdong, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS | 2009年
关键词：
interval valued intuitionistic fuzzy set; similarity measure; approximate reasoning; fuzzy rule; VAGUE SETS; ELEMENTS;
D O I：
10.1109/AICI.2009.171
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new similarity measure and its weighted similarity measure for interval-valued intuitionistic fuzzy sets (IvIFSS) based on score function and Hausdorff distance. The proposed new method for measuring the degree of similarity of IvIFs can be efficiently applied to the general IvIF approximate reasoning. Some numeric examples are given to illustrate the practicability and rationality of our proposed method.
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页码：505 / 509
页数：5
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