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The uncertainties associated with the local decisions are modeled by means of fuzzy sets.
In this paper, we propose a methodology to model texture properties by means of fuzzy sets defined on bidimensional spaces.
In particular, novel fuzzy metrics, by means of fuzzy and classical metrics and certain special types of functions, are introduced.
The autopilot control strategy is deduced heuristically by exploiting expert knowledge and is implemented by means of fuzzy logic.
In the new method, input and output are clustered separately by means of Fuzzy C-Means (FCM) algorithm.
In order to improve the model efficiency, the input data were then classified into some clusters by the means of fuzzy C-means (FCMs) method.
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This is realised by means of fuzzy-reasoning techniques incorporated into the system-dynamics model.
It means that the Euclidean distance from the worst and the best points has been separated into five sections according to the linguistic values and the mean of fuzzy numbers (Table 3 and Figure 5).
Linguistic scales for difficulty and importance are shown in Table 3 and Figure 4, and the linguistic values and the mean of fuzzy numbers are shown in Table 4 and Figure 5.
By means of Takagi Sugeno fuzzy models, the fuzzy controller systems and the overall closed-loop fuzzy dynamics are constructed.
The FRPNs are defined as fuzzy weighted geometric means of the fuzzy ratings for O, S and D, and can be computed using alpha-level sets and linear programming models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com