一种新的区间二型模糊集合降阶算法

摘要

KM/EKM type reduction algorithm is difficult to used for real-time control of interval type 2 fuzzy logic for its inefficiency.Although the operation time of IASC and EIASC algorithm based on switching point calculation formula and monotonic relation is lower than KM/EKM algorithm,but its initial value is from each side points and its efficiency also needs to be improved.This paper proposed a new interval type 2 fuzzy sets type reduction algorithm,which used switching point calculation formula and initial left and right switching point to improve efficiency.The simulation results of two simulation show the practical and adaptable of this method.%区间二型模糊集合的KM/EKM降阶算法,其效率较低,难以用于二型模糊逻辑的实时控制.而基于切换点计算公式的单调性关系的IASC和EIASC算法虽然其运算时间低于KM/EKM算法,但其初始值都是从两侧端点开始,其效率也有待提高.提出了一种新的二型模糊集合降阶算法,利用切换点计算公式和论域中值的关系以及初始化左、右切换点的值来提高计算效率.两个仿真实例验证了本算法的有效性和实用性.