Results 131 to 140 of about 54,112 (168)
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Averaging of Fuzzy Systems

Ukrainian Mathematical Journal, 2018
The asymptotic methods aimed at the investigation of nonlinear differential equations occupy a central place in the nonlinear mechanics. Krylov and Bogolyubov were the first who developed a general algorithm and proved the theorem on closeness of the solutions of exact and averaged systems.
Perestyuk, N. A., Skripnik, N. V.
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FuBiNFS – fuzzy biclustering neuro-fuzzy system

Fuzzy Sets and Systems, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A fuzzy relational equation in dynamic fuzzy systems

Fuzzy Sets and Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masami Kurano   +3 more
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Fuzzy-Systeme und Neuro-Fuzzy-Systeme

1998
Die 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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Identification in fuzzy systems

IEEE Transactions on Systems, Man, and Cybernetics, 1984
Given are fuzzy relational equations of the type \(Y=X\circ R\), \(Y=X*R\), \(Y=X\square R\), where X,Y denote fuzzy sets of input and output, R a fuzzy relation, and \(\circ\), *, \(\square\) are sup-min, sup-prod, inf-max composition operators, respectively. This paper deals with identification methods in fuzzy systems.
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Fuzzy dynamic systems

1994
The aim of this paper is to study fuzzy dynamic systems. The role of fuzzy sets in formation of a conceptual and computational platform for symbolic and numerical information processing is identified. We summarize essential properties of fuzzy partitions developed with the aid of families of fuzzy sets.
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Fuzzy Splicing Systems

2014
In this paper we introduce a new variant of splicing systems, called fuzzy splicing systems, and establish some basic properties of language families generated by this type of splicing systems. We study the “fuzzy effect” on splicing operations, and show that the “fuzzification” of splicing systems can increase and decrease the computational power of ...
Fariba Karimi 0002   +3 more
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Fuzzy systems and cybernetics

Kybernetes, 2009
PurposeThe purpose of this paper is to stimulate thought and discourse toward postmodernism and its less known roots.Design/methodology/approachThe paper addresses the relationship between postmodernism and the development of the fuzzy sets theory, in the 1970s.FindingsThe paper points out how Kybernetes, under the leadership of Dr J Rose, was the ...
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Humanistic Fuzzy Systems

2013
I was fortunate to have the opportunity to contact with Professor Zadeh and fuzziness in the early 1970’s. The frequent contacts, encouragements as well as the directions personally from Professor Zadeh became a continuous inspiration to my work. It is difficult to summarize and to re-call all the contacts, developments and meetings on fuzziness ...
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Interpretability of Fuzzy Systems

2013
Fuzzy systems are convenient tools for modelling complex phenomena because they are capable of conjugating a non-linear behaviour with a transparent description of knowledge in terms of linguistic rules. In many real-world applications, fuzzy systems are designed through data-driven design techniques which, however, often carry out precise systems that
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