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Fuel cell PV fed hybrid energy sources for 3 phase matrix converter using 3D Space Vector Modulation. [PDF]
Sci RepPalanisamy R +7 more
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Soft Computing, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James Buckley, Leonard Jowers
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James Buckley, Leonard Jowers
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FuBiNFS – fuzzy biclustering neuro-fuzzy system
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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European Journal of Operational Research, 2004
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Amo A +3 more
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Probabilistic Fuzzy Systems as Additive Fuzzy Systems
2014Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the estimation of the output’s conditional probability density ...
Almeida, R.J. +3 more
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Fuzzy-Systeme und Neuro-Fuzzy-Systeme
1998Die Anwendung von Fuzzy-Systemen hat sich in den letzten Jahren immer mehr in Bereiche der Betriebswirtschaft, Datenanalyse, Medizin usw. erstreckt und ist keineswegs mehr auf technische Anwendungen beschrankt. Gleichzeitig spielen Kopplungen von Fuzzy-Systemen mit anderen Methoden des Soft Computing eine immer grosere Rolle.
Detlef Nauck, Rudolf Kruse
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Kybernetes, 1988
With the object of translating some concepts and results from classical Reliability Theory into particular types of multistate systems, this article starts by presenting some basic definitions of fuzzy systems. The concepts of fuzzy coherent and fuzzy crisp‐based systems are examined and some results on fuzzy coherent structures are presented.
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With the object of translating some concepts and results from classical Reliability Theory into particular types of multistate systems, this article starts by presenting some basic definitions of fuzzy systems. The concepts of fuzzy coherent and fuzzy crisp‐based systems are examined and some results on fuzzy coherent structures are presented.
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Communications of the ACM, 1994
Born in the United States around 1965, fuzzy set theory has grown to become a major scientific domain collectively referred to in this article as «fuzzy systems,» which include fuzzy sets, logic, algorithms, and control. For the past few years, particularly in japan, approximately 1,000 commercial and industrial fuzzy systems have been successfully ...
Toshinori Munakata, Yashvant Jani
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Born in the United States around 1965, fuzzy set theory has grown to become a major scientific domain collectively referred to in this article as «fuzzy systems,» which include fuzzy sets, logic, algorithms, and control. For the past few years, particularly in japan, approximately 1,000 commercial and industrial fuzzy systems have been successfully ...
Toshinori Munakata, Yashvant Jani
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2003
A set is a collection of finite or infinite number of objects, which are called elements or members of the set. In the classical set theory, an object either belongs to a set or does not. If x is an element of set A, we notate x ∈ A; if not, we notate x ∉ A.
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A set is a collection of finite or infinite number of objects, which are called elements or members of the set. In the classical set theory, an object either belongs to a set or does not. If x is an element of set A, we notate x ∈ A; if not, we notate x ∉ A.
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