O. Castillo: "Interval Type-2 MamdaniFuzzy Systems for Intelligent Control". Combining Experimentation and Theory, pp. 163-177, 2012.Castillo, O.: Interval Type-2 Mamdani Fuzzy Systems for Intelligent Control. In: Trillas, E., Bonissone, P.P., Magdalena, L., Kacprzyk, J. (eds.) ...
Let ( ) be an interval type-2 fuzzy set defined on with MF , where and are the lower and upper MFs of , respectively [3]. What is the aggregation of these interval type-2 fuzzy sets through ? Recall that is originally defined as a function of points; hence, in order to ...
Index Terms—Interval type-2 fuzzy sets, nonsingleton fuzzy logic systems, time-series forecasting, tuning of parameters, type-2 fuzzy logic systems, upper and lower membership functions. I. INTRODUCTION FUZZY logic system (FLS) (also known as a fuzzy system, fuzzy logic controller, etc) ...
摘要原文 Fuzzy systems have become a good solution to the problem of fixed parameters in metaheuristic algorithms, proving their efficiency when performing dynamic parameter adaptations using type-1 and type-2 fuzzy logic. However, the computational cost of type-2 fuzzy systems when using the continu...
Systems Science & Control EngineeringLHossein Hassani & Jafar Zarei, "Interval Type-2 fuzzy logic controller design for the speed control of DC motors", Systems Science & Control Engineering, Published by Taylor & Francis, 2015.Hossein, H., Jafar, Z.: Interval Type-2 fuzzy logic controller ...
type-2 fuzzy systemstype-2 fuzzy systems.This paper describes a self-evolving interval type-2 fuzzy neural network (FNN) for various applications. As type-1 fuzzy systems cannot effectively handle uncertainties in information within the knowledge base, we propose a simple interval type-2...
To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). Unfortunately, there is a heavy educational burden even to using an...
Castillo, "Designing type-2 fuzzy systems using the interval type-2 fuzzy C-means algorithm," in Proceedings of the International Seminar Computing Intelligence (ISCI '13), Tijuana, Mexico, November 2013.Rubio E., Castillo, O.: Designing Type-2 fuzzy systems using the interval type-2 fuzzy ...
This paper is concerned with the problems of state and output feedback control for interval type-2 (IT2) fuzzy systems with mismatched membership functions. The IT2 fuzzy model and the IT2 state and output feedback controllers do not share the same membership functions. A novel performance ind...
J2000 TFS - Interval type-2 fuzzy logic systems - theory and design 学习二型模糊必读之作, Papers for the study of Type-2 fuzzy sets and systems学习二型模糊必读之作, Papers for the study of Type-2 fuzzy sets and systems隐藏>> IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 5, OCTOB...