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FORECASTING IN FUZZY SYSTEMS [PDF]
International Journal of Information Technology & Decision Making, 2011 Fuzzy regression has been applied to marketing, management, and sales forecasting for many years. In this paper, two types of forecasting methods within the framework of fuzzy regression analysis are discussed. The first type is a conventional forecasting method, which intends to find the value of a dependent variable when the given values of ...
HSIAO-FAN WANG, RUEY-CHYN TSAUR
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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 ...
Rui Jorge Almeida +3 more
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Fuzzy systems and approximation
Fuzzy Sets and Systems, 1997Abstract The basic motivation of using fuzzy rule-based systems especially for control purposes is to deduce simple and fast approximations of the unknown or too complicated models. Fuzzy rule-based systems have become very popuar because of their transparency and easiness of tuning and modification.
Zorat, Alessandro, L. Koczy
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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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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
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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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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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