摘要
运用Fuzzy集理论对区间数的模式识别问题进行了研究.在确定系数Fuzzy集的基础上,提出了"区间数距离"和"贴近区间"的概念,接着给出了两个贴近区间的模型;最后,实例的求解证明了该算法的可能性和有效性.
This article uses fuzzy set theory to study the problem of pattern recognition.Based on the determining coefficient fuzzy set,the concepts named ＂the distance of interval-value＂ and ＂nearly interval＂ are proposed,and then the article gives two models of nearly interval.At last,the solution of examples proves the possibilities and validity of this algorithm.
出处
《重庆工商大学学报（自然科学版）》
2011年第2期115-118,共4页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
国家自然科学基金(60675031)
关键词
区间数Fuzzy集
模式识别
距离
择近原则
interval-valued Fuzzy set
pattern recognition
distance
approaching principle
