Results 171 to 180 of about 17,647 (206)

Deep Learning-Based Evaluation of Postural Control Impairments Caused by Stroke Under Altered Sensory Conditions. [PDF]

Biomimetics (Basel)
Najipour A, Khorramymehr S, Razeghi M, Hassani K.   +3 more
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A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures. [PDF]

Sci Rep
Jaisankar D, Ramalingam S, Zegeye GB.
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A model for classifying information objects using neural networks and fuzzy logic. [PDF]

Sci Rep
Mukhin V, Zavgorodnii V, Liskin V, Syrota S, Czupryna-Nowak A, Rusyn B, Banasik A, Woloszyn J, Kempa W.   +8 more
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Development of a novel integrated RSM-Fuzzy MCDA framework for high-speed machinability assessment of WAAM-Fabricated aluminium. [PDF]

Sci Rep
Sivam SPSS, Kesavan S, Santhosh AJ.
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Evaluation of high performance concrete hardness properties using fuzzy logic based modeling. [PDF]

Sci Rep
Li Q.
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Ranking data privacy techniques in cloud computing based on Tamir's complex fuzzy Schweizer-Sklar aggregation approach. [PDF]

Sci Rep
Ahmmad J, El-Wahed Khalifa HA, Waqas HM, Alburaikan A, Radwan T.   +4 more
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Vague controller: A generalization of fuzzy logic controller

International Journal of Systems Science, 1999
In this research, a vague controller (VC) is synthesized by using the notion of vague sets, which are a generalization of fuzzy sets and characterized by a truth-membership function and a falsity-membership function. The vague sets follow the basic set operations and logic operations defined for fuzzy sets, and are superior to fuzzy sets in that they ...
Cheng-Liang Chen, Chung-Tyan Hsieh
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A Tutorial to Clarify the Vague Image of Fuzzy Logic Control

IFAC Proceedings Volumes, 1997
Abstract Although Fuzzy Logic Control (FLC) is succesfully applied in a number of applications breaktrough of this technique is hindered. Potential users are seriously interested but they also hesitate to apply FLC because it should be a vague method and specialist knowledge should be required for implementation and maintenace.
A.J.B. van Boxtel, H. Gerritse, H. Veen
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The Inevitability of Vagueness in Fuzzy Logic

2023
Fuzzy Logic, in its fuzzy control incarnation, can be as well seen as an answer to the belated question on how can an algorithm take in account the subtle variations in a complex system -- be it the simple and paradigmatic thermostat, the description of a traffic jam or the inner workings of a spaceship.
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Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data

2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492), 2002
The authors discuss how to address qualitative aspects and problems of imprecise and vague data in modelling dynamics of spread of epidemics. As a possible solution we propose superposition of fuzzy logic with lattice gas cellular automata.
B. Di Stefano, H. Fuks, A.T. Lawniczak
openaire   +1 more source