fuzzy algorithm

fuzzy algorithm

[¦fəz·ē ′al·gə‚rith·əm]
(computer science)
An ordered set of instructions, comprising fuzzy assignment statements, fuzzy conditional statements, and fuzzy unconditional action statements, that, upon execution, yield an approximate solution to a specified problem.
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MCU as the center, the front by two sensors, fuzzy algorithm produces an output when the output is higher than the critical value, and it will immediately generate a warning signal.
Among the topics are how to construct personalized cognitive structures, illumination-invariant face recognition with a whitening filter and local binary patterns, an intelligence gathering system for business based on cloud computing, a new camera calibration based on a neural network with runable activation function in intelligent space, forecasting monthly maximum five-day precipitation using artificial neural networks with initial lags, the design of an elderly tumble detection system based on a fuzzy algorithm, temperature compensation in full optical fiber current transformer using signal processing, and concessionaire selection based on an improved lowest tariff decision model.
Accordingly, on the basis of the above fuzzy algorithm, prioritization of the indices as per economic criteria is as follows:
This paper proposes an expert knowledge-based system that contains the fuzzy algorithm in a simple rule-base.
The main advantage of this model is its computational efficiency [22, 23]; the main paradigm of fuzzy model is that the fuzzy algorithm is a knowledge-based algorithm, the essential concepts of which are derived from fuzzy logic.
The fuzzy algorithm based on the satisfactory degree:
In all the images processed the clustering algorithm last lesser than the fuzzy algorithm.
The fuzzy algorithm can respond to a broad range of phenomena.
Figure 4 illustrates the results of the fuzzy algorithm applied to the one-dimensional combined index variable currently used to set the 20 indicated territory boundaries in Massachusetts.
Several papers from the National University of Defense Technology propose a fuzzy algorithm for extracting features from 3D flows, a cybernetics model of military force behavior, and a texture adaption technique for fuzzy feature visualization of vector fields.
Therefore, the controller takes into consideration multiple uncertainty elements; for that reason, a fuzzy algorithm was provided with the aim of developing an appropriate controller (Figure 5).