摘要
二型模糊逻辑系统是当前为学术界热点研究问题。本文介绍了区间二型模糊集相关理论,结合求解区间二型模糊集质心的改进反向搜索(EODS)算法,讨论了区间二型模糊逻辑系统的模糊推理,质心降型和解模糊化等模块。用两个计算机仿真例子来阐述和分析EODS算法的表现,与最常用的Karnik-Mendel(KM)算法相比,EODS算法在计算系统输出值时在不损失计算精度的条件下具有更快的计算速度,给二型模糊逻辑系统设计者和应用者提供了潜在的价值。
Studies on type-2 fuzzy logic systems is a hot topic in the current academic area. This paper introduces the corresponding theory of interval type-2 fuzzy sets, and discusses the blocks of fuzzy reasoning, type-reduction and defuzzification of interval type-2 fuzzy logic systems by combining the enhanced opposite direction searching algorithms for solving the centroids of interval type-2 fuzzy sets. Two computer simulation examples are used to illustrate and analyze the performances of EODS algorithms. Compared with the most commonly used Karnik-Mendel （KM） algorithms, the EODS algorithms are computationally faster without loosing the calculation accuracy, which provide the potential value for designers and adopters of type-2 fuzzy logic systems.
作者
陈阳
王涛
CHEN Yang;WANG Tao(College of Scienee,Liaoning University of Technology,Jinzhou 121001,China)
出处
《模糊系统与数学》
北大核心
2018年第4期58-66,共9页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61374188)
辽宁省自然科学基金指导项目(20180550056)
辽宁省高校基本科研业务费项目(JL201615410)
关键词
区间二型模糊逻辑系统
降型
模糊推理
EODS算法
计算机仿真
Interval Type-2 Fuzzy Logic Systems
Type-reduction
Fuzzy Reasoning
EODS Algorithms
Computer Simulation
