Results 241 to 250 of about 606,237 (294)
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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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On the general theory of fuzzy systems: Fuzzy linearity and fuzzy dynamic systems
Journal of Computer and Systems Sciences International, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kozhukhar, V. A., Pushkov, S. G.
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Improving the fuzzy system performance by fuzzy system ensemble
Fuzzy Sets and Systems, 1998This paper proposes a fuzzy system ensemble (FSE) that can improve the system performance in non-linear and complex problems. Each fuzzy system in the FSE is built from two design stages, each stage of which is performed by different genetic algorithms (GAs).
Kim, D
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Fuzzy stopping of a dynamic fuzzy system
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111), 2002This paper discusses an optimal stopping problem of fuzzy systems with fuzzy rewards in a class of fuzzy stopping times, which are extended from usual stopping times. Some properties regarding the optimal fuzzy stopping times are presented.
Masami Kurano +3 more
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Soft Computing, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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International Journal of Computer Mathematics, 1990
Fuzzy L-systems are presented as a formal mechanism for generating fuzzy formal languages. This provides a mechanism for modelling development while also incorporating the vagueness inherent to most real world processes. In this paper, fuzzy L-systems are defined, a normal form is developed, closure properties of fuzzy L-systems—both language-theoretic
M. V. Nagendra Prasad +2 more
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Fuzzy L-systems are presented as a formal mechanism for generating fuzzy formal languages. This provides a mechanism for modelling development while also incorporating the vagueness inherent to most real world processes. In this paper, fuzzy L-systems are defined, a normal form is developed, closure properties of fuzzy L-systems—both language-theoretic
M. V. Nagendra Prasad +2 more
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On Fuzziness in Complex Fuzzy Systems
2013Abraham Kandel, one of the pioneers of fuzzy logic research, has numerous theoretical and practical contributions in the field of fuzzy systems. Mark Last’s main contribution to the field of fuzzy logic includes the introduction of fuzzy based automatic perception and info fuzzy networks.
Dan E. Tamir, Mark Last, Abraham Kandel
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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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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 1994
Besides their linguistic interface, we believe fuzzy controllers not only to be universal approximators but also more general and efficient than their similar neural counterparts: radial basis functions. Consequently like recurrent neural networks, this paper aims at extending the fuzzy controllers approximation capacity to dynamic processes of unknown
Gorrini, Vittorio, Bersini, Hugues
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Besides their linguistic interface, we believe fuzzy controllers not only to be universal approximators but also more general and efficient than their similar neural counterparts: radial basis functions. Consequently like recurrent neural networks, this paper aims at extending the fuzzy controllers approximation capacity to dynamic processes of unknown
Gorrini, Vittorio, Bersini, Hugues
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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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