Results 281 to 290 of about 4,760,350 (333)

Probability, Possibility and Fuzzy Events

2008
It 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, Neli Regina Siqueira Ortega, Laecio Carvalho de Barros, Claudio José Struchiner   +3 more
openaire   +1 more source

Diagnosability of Fuzzy Discrete-Event Systems: A Fuzzy Approach

IEEE Transactions on Fuzzy Systems, 2009
In 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
openaire   +1 more source

Event-Triggered Polynomial Fuzzy Controller for Networked Polynomial Fuzzy Systems

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
This 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
openaire   +1 more source

Measure, Integrals and Fuzzy Events

2016
This 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, Rodney Carlos Bassanezi, Weldon A. Lodwick   +2 more
openaire   +1 more source

A Fuzzy Discrete Event Simulator for Fuzzy Production Environment Analysis

CIRP Annals, 1998
Abstract 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
openaire   +1 more source

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, 2002
A 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
openaire   +1 more source

Opacity of Fuzzy Discrete Event Systems

2019 Chinese Control And Decision Conference (CCDC), 2019
Opacity of discrete event systems (DESs) has been well investigated in recent years. However, all the existing researches only focus on crisp models. Note that a lot of practical systems are filled with uncertainties that cannot be accurately characterized by crisp models but can be well handled by fuzzy models.
Weilin Deng, Jingkai Yang, Cheng Jiang, Daowen Qiu   +3 more
openaire   +1 more source

Continuous fuzzy sets as probabilities of continuous fuzzy events

International Conference on Fuzzy Systems, 2010
In the first part of this study we explore continuous fuzzy numbers in the interval- and the α-cut forms to detect their similar nature. The conversion from one form to the other is a question of using the appropriate apparatus, which we also provide. Since the fuzzy numbers can reproduce fuzzy events we then will make a trial of extending the concept ...
openaire   +1 more source

Eventology of random-fuzzy events [PDF]

, 2005
A brief introduction to the eventology, which has originated recently as a new line of probability theory. This line studies eventological motion of random-fuzzy events (eventological motion of events motion of matter or motion of mind changing the eventological distributions), introduces the mind as an eventological distribution to scientific and ...
openaire  

Fuzzy logic classification of seismic events

1993 (25th) Southeastern Symposium on System Theory, 2002
Two different methods that incorporate fuzzy logic are examined for the classification of seismic events from time-series data. Linguistic descriptors incorporate characteristics such as energy content, clutter, and bursts along with well developed heuristic rules as part of a classification scheme.
openaire   +1 more source