Add to ORKGThis paper presents differences of type-1 with interval type-2 fuzzy logic systems. T1FLS contains three main processes which are fuzzifier, inference engine, and defuzzifier. Whereas in IT2FLS has five contains which are fuzzifier, inference engine, type-reduction, and defuzzifier. The significant difference is on type-reduction, which makes more complex than T1FLS. Each advantages and disadvantages also affect to efficiency and performance of Fuzzy Logic System
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many appl...
Real world environments are characterized by high levels of lin-guistic and numerical uncertainties....
This paper presents differences of type-1 with interval type-2 fuzzy logic systems. T1FLS contains ...
Pada Paper ini menyajikan perbedaan antara Type-1 Fuzzy Logic System (T1FLS) dan Interval Type-2 Fuz...
Research reported here proves that Interval Type-2 Fuzzy Systems can be carried out using type-1 fuz...
Navigation of autonomous mobile robots in dynamic and unknown environments needs to take into accoun...
Abstract—To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the o...
Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to different appl...
Abstract—In this paper we compare the differences between type-1 and interval type-2 fuzzy logic con...
An interval type-2 fuzzy set (IT2 FS) is today the most widely used T2 FS because it is computationa...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many appl...
Real world environments are characterized by high levels of lin-guistic and numerical uncertainties....
This paper presents differences of type-1 with interval type-2 fuzzy logic systems. T1FLS contains ...
Pada Paper ini menyajikan perbedaan antara Type-1 Fuzzy Logic System (T1FLS) dan Interval Type-2 Fuz...
Research reported here proves that Interval Type-2 Fuzzy Systems can be carried out using type-1 fuz...
Navigation of autonomous mobile robots in dynamic and unknown environments needs to take into accoun...
Abstract—To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the o...
Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to different appl...
Abstract—In this paper we compare the differences between type-1 and interval type-2 fuzzy logic con...
An interval type-2 fuzzy set (IT2 FS) is today the most widely used T2 FS because it is computationa...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many appl...
Real world environments are characterized by high levels of lin-guistic and numerical uncertainties....