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Some additional steps, e.g., using fuzzy technique to apply historical information of cloud cover to sample data sets for network training and the forecasted cloud cover in weather program to network input for the irradiation forecasting, are adopted to help enhancing forecast precision.
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On the basis of considered criteria and alternatives, a hierarchy type performance model has been developed and analysed using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach to select the best alternative in order to improve the performance of GSCM system.
So, a natural way to deal with the seemingly inconsistent information is to take this imprecision into account in the Bayesian approach – e.g., by using fuzzy techniques.
The proposed method involves the fusion of classifiers based on decision trees designed using fuzzy techniques.
Preliminary studies using fuzzy techniques such as Fuzzy C-Means (FCM) [14] and Hard C-Means (HCM) algorithms [15] have also been reported in literature.
Fuzzy image processing uses fuzzy techniques in the various stages of an image processing task.
Then, it uses a fuzzy technique to indicate whether the driving is dangerous.
After a brief review of the development of the first PID autopilots, the paper describes how early work using fuzzy logic techniques to describe and model the actions of helmsmen led to the development of the first fuzzy autopilots and how parallel advances in self-organising and adaptive network fuzzy inference systems were utilised to refine the early fuzzy autopilot designs.
Sangole et al. [11] used neuro-fuzzy technique to model the gap-acceptance behavior of right turning two wheelers (TWs) at three-legged intersections in India.
It makes use of fuzzy techniques to guide agents in evaluating past interactions and in establishing new contracts with one another.
The proposed approach uses fuzzy logic techniques to determine a node's trust value by combining the residual energy and speed of each node in the MANET.
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