一种新的区间二型模糊集合降阶算法

New interval type 2 fuzzy sets type reduction algorithm

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。

KM/EKM type reduction algorithm is difficult to used for real-time control of interval type 2 fuzzy logic for its inef- ficiency. Although the operation time of IASC and EIASC algorithm based on switching point calculation formula and monoton- ic relation is lower than KM_/EKM algorithm, but its initial value is from each side points and its efficiency also needs to be im- proved. 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 practi- cal and adaptable of this method.