Results 271 to 280 of about 117,911 (316)
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Fuzzy Sets and Systems, 1998
Fuzzy linear systems were considered by many authors [cf. e.g. \textit{R. Fullér}, Fuzzy Sets Syst. 34, No. 3, 347-353 (1990; Zbl 0696.15003); \textit{R. Zhao} and \textit{R. Govind}, Inf. Sci. 56, No. 1-3, 199-243 (1991; Zbl 0726.65048); \textit{J. J. Buckley, T. Feuring} and \textit{Y. Hayashi}, Int. Ser. Intell. Technol.
Menahem Friedman +2 more
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Fuzzy linear systems were considered by many authors [cf. e.g. \textit{R. Fullér}, Fuzzy Sets Syst. 34, No. 3, 347-353 (1990; Zbl 0696.15003); \textit{R. Zhao} and \textit{R. Govind}, Inf. Sci. 56, No. 1-3, 199-243 (1991; Zbl 0726.65048); \textit{J. J. Buckley, T. Feuring} and \textit{Y. Hayashi}, Int. Ser. Intell. Technol.
Menahem Friedman +2 more
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Fuzzy Preorder, Fuzzy Topology and Fuzzy Transition System
2013The purpose of this work is to show that the observations made regarding fuzzy transition systems can be easily obtained by using the fuzzy preordered and fuzzy topological concepts.
S. P. Tiwari, Anupam K. Singh
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Fuzzy control as a fuzzy deduction system
Fuzzy Sets and Systems, 2001The author gives a new and interesting translation strategy for linguistic control rules of the form: \textit{if} \(x\) is \(A\) \textit{then} \(y\) is \(B\). He reads them as: \( A(x) \land B(y) \to\text{ good} (x,y) \) with a new predicate \textit{good} expressing globally the control quality.
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IEEE Micro, 1995
Our system uses fuzzy logic to bipartition cells in VLSI circuits. The system uses fuzzy logic principles to generate net and cell indices and a bottom-up clustering algorithm to produce the two-way partition. We tested our algorithm on eleven ISCAS89 benchmark circuits and compare its performance with that of other implementations.
Krishna Rao Valavala, Mahmoud A. Manzoul
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Our system uses fuzzy logic to bipartition cells in VLSI circuits. The system uses fuzzy logic principles to generate net and cell indices and a bottom-up clustering algorithm to produce the two-way partition. We tested our algorithm on eleven ISCAS89 benchmark circuits and compare its performance with that of other implementations.
Krishna Rao Valavala, Mahmoud A. Manzoul
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Kybernetes, 1990
The concept of L‐fuzzy systems is introduced as a generalisation of that of general systems. A universal structure of a special kind of L‐fuzzy system is given, some mapping properties of L‐fuzzy systems are studied and a number of open questions posed.
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The concept of L‐fuzzy systems is introduced as a generalisation of that of general systems. A universal structure of a special kind of L‐fuzzy system is given, some mapping properties of L‐fuzzy systems are studied and a number of open questions posed.
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European Journal of Operational Research, 2004
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Ana del Amo +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ana del Amo +3 more
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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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International Journal of General Systems, 1990
The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive ...
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The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive ...
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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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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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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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