摘要
广义二型模糊逻辑系统在近年来被广泛关注,降型仍然是系统的核心模块。改进Karnik-Mendel算法是最流行的降型算法。根据广义二型模糊集的α-平面表达理论,提出一类二分搜索改进Karnik-Mendel算法来完成广义二型模糊逻辑系统质心降型。在取相同的主变量采样率情况下,通过2个计算机仿真示例说明,该算法在不损失计算精度的前提下可取得比改进Karnik-Mendel算法更高的计算效率。
General type-2 fuzzy logic systems have drawn great attentions in recent years,and type-reduction is still the kernel block of the systems.The Enhanced Karnik-Mendel(EKM)algorithm is the most popular type-reduction algorithm.According to the alpha-planes representation theory of general type-2 fuzzy sets,this paper proposes a binary-search enhanced Karnik-Mendel(BEKM)algorithm to perform the centroid type-reduction of general type-2 fuzzy logic systems.In case of choosing the same sampling rate of primary variables,two computer simulation examples show that,compared with the EKM algorithm,the BEKM algorithm has higher computational efficiency without losing the calculation accuracy.
作者
陈阳
王涛
CHEN Yang;WANG Tao(College of Science,Liaoning University of Technology,Jinzhou 121001,China)
出处
《计算机工程与科学》
CSCD
北大核心
2020年第8期1448-1453,共6页
Computer Engineering & Science
基金
国家自然科学基金(61973146,61773188,61803189)
辽宁省自然科学基金(20180550056)
辽宁工业大学校人才基金(xr2020002)。
