Results 261 to 270 of about 200,066 (302)
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Fuzzy Discrete Event Simulation for Fuzzy Production Systems Analysis
IFAC Proceedings Volumes, 1998Abstract Fuzzy production systems are characterised by vagueness in data and requirements that very often cannot be reduced to stochastic models. Therefore, such production systems cannot be analysed by using classical techniques such as Queue Theory or Discrete Simulation Analysis.
G. Perroneo, S. Noto La Diega, A. Zinno
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Information energy of a fuzzy event and a partition of fuzzy events
IEEE Transactions on Systems, Man, and Cybernetics, 1985In order to define a measure of the information processed by a fuzzy event and by a partition of fuzzy events, the ''information energy'' provided by a fuzzy event and partition of fuzzy events is considered. This measure integrates the statistical uncertainty resulting from the occurrence of events and the uncertainty of meaning of events that is ...
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Fuzzy subsethood and belief functions of fuzzy events
Fuzzy Sets and Systems, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Probability, Possibility and Fuzzy Events
2008It is very common to confuse fuzzy sets theory with the theory of probabilities. Frequently membership degree is misinterpreted as probability value and the membership function as a statistic distribution function. This confusion emerges due to the fact that there is a narrow relationship among the two theories and, under certain aspects, the fuzzy ...
Eduardo Massad +3 more
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Probability of Intuitionistic Fuzzy Events
2002The notion of probability measure of intuitionistic fuzzy events is investigated and basic properties of that concept are examined.
Przemysław Grzegorzewski, Edyta Mrówka
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Diagnosability of Fuzzy Discrete-Event Systems: A Fuzzy Approach
IEEE Transactions on Fuzzy Systems, 2009In order to more effectively cope with the real-world problems of vagueness, fuzzy discrete-event systems (FDESs) were proposed by Lin and Ying recently. Then we and Cao and Ying investigated the supervisory control of FDESs independently. In this paper, we are concerned with another important issue of FDESs, the failure diagnosis.
null Fuchun Liu, null Daowen Qiu
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Event-Triggered Polynomial Fuzzy Controller for Networked Polynomial Fuzzy Systems
2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018This paper deals with the polynomial event-triggered control for nonlinear networked control systems (NCSs). Representing the nonlinear model using a polynomial fuzzy model, a novel polynomial event-triggered scheme is proposed which includes some existing scheme as a special case.
Guiling Li, Chen Peng
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Measure, Integrals and Fuzzy Events
2016This chapter reviews classical measure theory including probability and Lebesgue measures. This discussion is followed by fuzzy measures, Sugeno measures, and possibilistic measures in order to understand the integration of Lebesgue, Choquet and Sugeno. These concepts are used in the development of fuzzy expected value.
Laécio Carvalho de Barros +2 more
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A Fuzzy Discrete Event Simulator for Fuzzy Production Environment Analysis
CIRP Annals, 1998Abstract Discrete Event Simulation is a powerful tool to help production managers in planning manufacturing systems. The necessity to rapid react to market conditions is pushing production planners to process requirements and information affected by vagueness.
G. Perrone, S. Noto La Diega, A. Zinno
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Fuzzy vs. non-fuzzy rule base for gait event detection
Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2002A method for the detection of gait events in the electrically-stimulated walking of paraplegic subjects was developed using fuzzy system identification methods. The efficacy of various amounts of "fuzziness" (i.e., overlap of sensor measurement membership functions) of the system mas explored.
null Sau Kuen Ng, H.J. Chizeck
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