A Similarity Measure with Uncertainty for Incompletely Known Fuzzy Sets

被引：0
|
作者：
Stachowiak, Anna [1 ]
Dyczkowski, Krzysztof [1 ]
机构：
[1] Adam Mickiewicz Univ, Fac Math & Comp Sci, PL-61614 Poznan, Poland
来源：
PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) | 2013年
关键词：
VAGUE SETS;
D O I：
暂无
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 is devoted to the problem of measuring similarity between pieces of uncertain (incomplete) information in the framework of I-fuzzy set theory (Atanassov's intuitionistic fuzzy sets and interval-valued fuzzy sets). We propose a way of determining an interval-valued similarity measure of I-fuzzy sets that preserves information about the operands' uncertainty by approximating lower and upper bounds of similarity degrees. We discuss some of the desirable properties of this measure and illustrate it with an example application in recommender systems.
引用
收藏
页码：390 / 394
页数：5
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