基于梯形隶属函数的区间数模糊评价方法

用区间数表征事物特征更符合科学的严谨性,模糊理论在研究和解决模糊性问题方面有其独特的优势.在经典模糊理论和已有区间数的研究成果基础上,结合聚类的思想把隶属函数的研究在区间数上作了拓展,以梯形隶属函数为例,构建了隶属函数值,并对隶属函数值也是区间数这更一般形式模糊聚类的原理作了研究.事实上公路网综合水平的内涵和外延是不清晰的,是一个模糊系统,根据公路网的现状及可比较的原则,将构建的基于区间数的梯形隶属函数用于公路网综合水平评价,结果表明了评价的合理性.

Interval number fuzzy evaluation based on trapezoid subordinate function

It is reasonable that the interval number is utilized to describe the characteristic of things,and the fuzzy theory has its unique superiority in research and solution fuzziness question aspect.According to the classical fuzzy theory and the achievement obtained in interval number,this paper introduces the interval number into subordinate functions and establishes a trapezoid subordinate function.As a fuzzy system,the connotation and extension of the road net integration level are blurry.The fuzzy system theory is utilized to assess the road net evaluation in light of the revisability and comparability of road nets.Then,an empirical study is given to prove the effectiveness and reasonableness of the presented model.