7, NO. 6, DECEMBER 1999 643 Type-2 Fuzzy Logic Systems Nilesh N. Karnik, Jerry M. Mendel, Fellow, IEEE, and Qilian Liang Abstract— We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of ...
Type-reduction in a type-2 fuzzy logic system (FLS) is an "extended" version of the defuzzification operation in a type-1 FLS. In this paper, we briefly review the structure of a type-2 FLS and describe type-reduction in detail. We focus on a center-of-sets type-reducer, and ...
We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification. Type-reducti...
type-2 FLS it may take less time to train an interval type-2 FLS to achieve a satisfactory performance, and the resulting system is more robust to noise. I. INTRODUCTION The knowledge used to construct a fuzzy logic system (FLS) is often uncertain. The uncertainties may arise from the fol...
In the past decades, Type 2 Fuzzy Logic System (T2 FLS) has been widely used in engineering applications. To outperform the Type 1 FLSs, T2 can be applied with dynamic uncertainties. In the present work, the Genetic Algorithm (GA) is used to design the least cost Water Distribution ...
The basic theory of a type-2 Fuzzy Logic Systems (FLSs) is presented, an efficient and simplified method to convert a type-2 fuzzy to a crisp result in a type-2 FLS is proposed, which is a straightforward way for the liberation of computation complexity, and the example shows that it ...
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) ...
Type-2 fuzzy logic refers to a fuzzy logic system that has gained popularity in various applications, especially in pattern recognition and classification problems within the field of Computer Science. AI generated definition based on: Expert Systems with Applications, 2013 ...
A type-1 fuzzy logic system (T1FLSs) inference produces a T1FS and the result of defuzzification of the T1FS, a crisp number, whereas a T2FLS inference produces a type-2 fuzzy set, its type-reduced fuzzy set which is a T1FS and the defuzzification of the type-1 fuzzy set. The type...
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...