Results 11 to 20 of about 228,240 (165)
Soft Computing, 2023 Abstract General type-2 fuzzy logic systems have received wide concerns in current academic subject. Type-reduction is the kernel module for the systems. This paper shows the interpretations for the beginning of Karnik-Mendel (KM) algorithms. According to the famous numerical integration technique, the weighting approaches of enhanced Karnik ...
Yang Chen
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AIMS Mathematics<abstract> <p>General type-2 fuzzy logic systems (GT2 FLSs) on the basis of alpha-plane representation of GT2 fuzzy sets (FSs) have attracted considerable attention in recent years. For the kernel type-reduction (TR) block of GT2 FLSs, the enhanced Karnik-Mendel (EKM) algorithm is the most popular approach. This paper proposes the sensible
Yang Chen, Chenxi Li
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Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems, 2006 J. Mendel, R. John, Feilong Liu
semanticscholar +3 more sources
Mathematics, 2023 This paper presents (a) a novel hybrid learning method to train interval type-1 non-singleton type-3 fuzzy logic systems (IT3 NSFLS-1), (b) a novel method, named enhanced Wagner–Hagras (EWH) applied to IT3 NSFLS-1 fuzzy systems, which includes the level ...
Gerardo Maximiliano Méndez +4 more
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Axioms, 2021 This work is mainly focused on improving the differential evolution algorithm with the utilization of shadowed and general type 2 fuzzy systems to dynamically adapt one of the parameters of the evolutionary method.
Patricia Ochoa +3 more
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Mathematical and Computational Applications, 2022 In recent, various metaheuristic algorithms have shown significant results in control engineering problems; moreover, fuzzy sets (FSs) and theories were frequently used for dynamic parameter adaption in metaheuristic algorithms.
Himanshukumar R. Patel, Vipul A. Shah
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Join and Meet Operations for Type-2 Fuzzy Sets With Nonconvex Secondary Memberships [PDF]
, 2015 In this paper, we will present two theorems for the join and meet operations for general type-2 fuzzy sets with arbitrary secondary memberships, which can be nonconvex and/or nonnormal type-1 fuzzy sets.
Bustince, H +4 more
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Review of Recent Type-2 Fuzzy Image Processing Applications
Information, 2017 This paper presents a literature review of applications using type-2 fuzzy systems in the area of image processing. Over the last years, there has been a significant increase in research on higher-order forms of fuzzy logic; in particular, the use of ...
Oscar Castillo +3 more
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Parallel Type-2 Fuzzy Logic Co-Processors for Engine Management [PDF]
, 2007 Marine diesel engines operate in highly dynamic and uncertain environments, hence they require robust and accurate speed controllers that can handle the encountered uncertainties. Type-2 Fuzzy Logic Controllers (FLCs) have shown that they can handle such
Callaghan, Victor +2 more
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Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets [PDF]
, 2013 Similarity measures provide one of the core tools that enable reasoning about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the comparison of ...
Christian Wagner +4 more
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