Results 11 to 20 of about 9,960 (247)
Fuzzy C-Means Clustering Algorithm With Multiple Fuzzification Coefficients
Algorithms, 2020 Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common clustering ...
Manh-Kien Tran +2 more
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A New Approach to Concavity Fuzzification [PDF]
Journal of Mathematics, 2021 In this paper, we introduce a more general approach to the fuzzification of fuzzy concavity. More specifically, the degree of L,M-fuzzy concavity is introduced and characterized as a generalization of L-concave structure and L,M-fuzzy concave structure ...
Ibtesam Alshammari +2 more
doaj +3 more sources
On fuzzification mechanisms for unary quantification [PDF]
Fuzzy Sets and Systems, 2020 We address a salient issue arising in Glockner's two-step methodology for modeling vague quantifiers: the design of quantifier fuzzification mechanisms (QFMs).
P. Baldi, C. Fermüller, M. Hofer
semanticscholar +5 more sources
On fuzzification of topological categories
EPiC Series in Computing, 2018 This talk provides a fuzzification procedure for topological categories, i.e., given a topological category A, there exists a topological category B, which contains A as a full concretely coreflective subcategory, and which can be considered as a fuzzification of A.
Sergejs Solovjovs
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Applied Sciences (Switzerland), 2021 In this research, we introduce a classification procedure based on rule induction and fuzzy reasoning. The classifier generalizes attribute information to handle uncertainty, which often occurs in real data.
Martin Tabakov +2 more
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Fuzzification of crisp domains [PDF]
Kybernetika, 2010 This paper discusses the transition from classical probability theory to fuzzy probability theory. The first part deals with discrete probability spaces and a simple transportation problem. It illustrates some fundamental constructions of fuzzy probability theory.
Roman Fric, Martin Papco
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Applied Sciences, 2022 This paper presents a systematic approach to designing a dynamic metaheuristic fuzzy logic controller (FLC) to control a piece of non-linear plant. The developed controller is a multiple-input–multiple-output (MIMO) system.
Hasitha R. Jayetileke +2 more
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Development of mobile robot control algorithm based on the fuzzification of the local terrain map [PDF]
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2021 Based on a review and analysis of the literature for controlling a small light mobile robot based on fuzzy logic, an algorithm was developed based on the fuzzification of the local area and on determining the danger of traffic. The obtained algorithm can
В. Баламут +2 more
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A Novel Approach to the Fuzzification of Fields [PDF]
Symmetry, 2021 There are many symmetries in L-fuzzy algebras. In this paper, a novel approach to the fuzzification of a field is introduced. We define a mapping F:LX→L from the family of all the L-fuzzy sets on a field X to L such that each L-fuzzy set is an L-fuzzy subfield to some extent. Some equivalent characterizations F(μ) are given by means of cut sets.
Mingyi Zeng, Fu-Gui Shi, Lan Wang
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Analysis of Fuzzification Process in Fuzzy Expert System
Procedia Computer Science, 2018 The fuzzy expert systems are oriented towards handling uncertain or imprecise information. The fuzzy expert system is used in the domains where the input variables do not have fixed values.
Viral Nagori
exaly +2 more sources