Results 81 to 90 of about 15,144 (135)

Analysis of anti-cancer treatment therapies based on TOPSIS method under fractional Diophantine fuzzy Muirhead mean operators. [PDF]

Sci Rep
Qadir A, Abdullah S, Rahimzai AA, Khan S.   +3 more
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Dance classification using pretrained deep learning models integrated with the circular Fermatean fuzzy MARCOS method. [PDF]

Sci Rep
Wang Y.
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Network security analysis based on feature selection and optimized fireworks algorithm. [PDF]

Sci Rep
Zhou L, Liu C, Tian L, Wang J, Liu C, Yu X.   +5 more
europepmc   +1 more source

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Toward a Fuzzy Logic System Based on General Forms of Interval Type-2 Fuzzy Sets

IEEE Transactions on Fuzzy Systems, 2019
Recent years have witnessed a widespread in the use of interval type-2 fuzzy logic systems (IT2 FLSs) in real-world applications. It has been shown recently that interval type-2 fuzzy sets (IT2 FSs) are more general than interval-valued fuzzy sets (IV FSs) [1] .
Gonzalo Ruiz-Garcia, Hani Hagras, Hector Pomares, Ignacio Rojas Ruiz   +3 more
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An Extended Type-Reduction Method for General Type-2 Fuzzy Sets

IEEE Transactions on Fuzzy Systems, 2017
A centroid type-reduction strategy for computing the centroids of type-2 fuzzy sets based on decomposed $\alpha$ -planes was proposed by Liu. However, it cannot be applied to type-2 fuzzy sets with concave secondary membership functions. In this paper, we extend the Liu's method so that the centroids of type-2 fuzzy sets with concave secondary ...
Bing-Kun Xie, Shie-Jue Lee
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Monotone Centroid Flow Algorithm for Type Reduction of General Type-2 Fuzzy Sets

IEEE Transactions on Fuzzy Systems, 2012
Recently, type-2 fuzzy logic systems (T2 FLSs) have received increased research attention due to their potential to model and cope with the dynamic uncertainties ubiquitous in many engineering applications. However, because of the complex nature and the computational intensity of the inference process, only the constrained version of T2 FLSs, i.e., the
O. Linda, M. Manic
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Uncertainty measures for general type-2 fuzzy sets

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhai, Daoyuan, Mendel, Jerry M.
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Representation for general type-2 fuzzy sets

2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS), 2017
How to represent a type-2 fuzzy set(T2 FS)is a key point to deal with type-2 fuzzy control and analysis. In the paper, T2 FSs are divided into four classes: discrete T2 FSs, partially connected T2 FSs, connected T2 FSs, and compounded T2 FSs, and the corresponding representation methods are provided, especially second-degree partition of CoS is ...
Hong Mo, F.-Y Wang
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The construction of general type-2 fuzzy sets

2013 IEEE International Conference on Granular Computing (GrC), 2013
Focus on constructing of general type-2 fuzzy set, the essence of type-n fuzzy sets are discovered. We first proved the consistency between interval estimation and nested sets representation theorem of type-1 fuzzy sets, which guarantees the rationality of our methods in this paper.
Dan Hu, Tsau Young Lin, Qiang Fan
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An improved type-reduction algorithm for general type-2 fuzzy sets

Information Sciences, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Li, Qian, Fucai, Wang, Lingzhi, Ma, Xuehui   +3 more
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