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Geometric Type-2 fuzzy sets allow us to model type-2 fuzzy sets using geometry providing significant improvement in speed of computation. This paper explores in ...
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Abstract: Recently type-2 Fuzzy logic systems (FLSs) have demonstrated their competence in treating vagueness in real world dynamic systems.
This paper gives a complete description of an interval type-2 fuzzy logic system based on geometry and compares the novel defuzzification technique with ...
Abstract—In this paper, we present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose an efficient.
An interval type-2 membership function is defined by an upper and lower membership function. The upper membership function (UMF) is equivalent to a traditional ...
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A fuzzy region model based on interval type-II fuzzy sets is proposed in this paper, considering the uncertainty due to error and to scale effects. Two concepts ...
This paper proposes an interval type-2 fuzzy logic system (IT2 FLS) to determine the similarity between the neighboring pixels by involving an instinctive ...
A fuzzy region model based on interval type-II fuzzy sets is proposed in this paper, considering the uncertainty due to error and to scale effects. Two concepts ...
A fuzzy region model based on interval type-II fuzzy sets is proposed in this paper, considering the uncertainty due to error and to scale effects. Two concepts ...
This article is motivated by the need for a practical model of T2FLSs that appropriately models uncertainty but comes with a higher computational cost.