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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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A clustering fuzzification algorithm based on ALM
Fuzzy Sets and Systems, 2020Abstract In this paper, we propose a fuzzification method for clusters produced from a clustering process, based on Active Learning Method (ALM). ALM is a soft computing methodology which is based on a hypothesis claiming that human brain interprets information in pattern-like images.
Saeed Bagheri Shouraki +2 more
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, 2015 Botulism is not age or gender restrictive. It has been seen over the years as a nerve toxin that is produced by the bacterium Clostridium botulinum and sometimes by strains of Clostridium butyricum and Clostridiumbaratii. It symptoms varies from double vision to muscle weakness.
Imianvan, AA, Obi, JC
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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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Quaestiones Mathematicae, 2003
Abstract unavailable at this time... Mathematics Subject Classification (2000): 03E72, 52A01, 54E35, 53C70, 14M15 Quaestiones Mathematicae 25 (2002), 147 ...
Lubczonok, G, Remsing, C.C
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Abstract unavailable at this time... Mathematics Subject Classification (2000): 03E72, 52A01, 54E35, 53C70, 14M15 Quaestiones Mathematicae 25 (2002), 147 ...
Lubczonok, G, Remsing, C.C
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Fuzzification of Zero Forcing Process
New Mathematics and Natural Computation, 2020In this paper, we investigate the fuzzification of zero forcing process. For this, first we introduce a new embedding of a graph [Formula: see text] by considering a minimal zero forcing set of [Formula: see text] and an arbitrary list of maximal forcing chains of this zero forcing set.
Rajab Ali Borzooei +4 more
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Fuzzification of Rational and Recognizable Sets
Fundamenta Informaticae, 2007In this paper we present a different framework for the study of fuzzy finite machines and their fuzzy languages. Unlike the previous work on fuzzy languages, characterized by fuzzification at the level of their acceptors/generators, here we follow a top-down approach by starting our fuzzification with more abstract entities: monoids and particular ...
Stavros Konstantinidis +2 more
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Fuzzification of vector-valued functions
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzification of Spiked Neural Networks
2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008Biological systems are slow, wide and messy whereas computer systems are fast, deep and precise. Fuzzy neural networks use fuzzy logic to implement higher level reasoning and incorporate expert knowledge into the system while neural networks deal with the low level computational structures capable of learning and adaptation.
David C. Reid, Maybin K. Muyeba
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A Method for the Fuzzification of Categorical Variables
2006 IEEE International Conference on Fuzzy Systems, 2006Besides the numeric variables which are common in fuzzy modeling, some variables involved in the description of specific behaviors are categorical. Such variables are discrete, have no order a-priori, and most of the time handle a large amount of values (e.g., genes, proteins, countries, religions, etc.).
Etienne Jodoin +2 more
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