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.