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Fuzzy logic, however, would not create a solution if one did not exist in the first place through the knowledge of an expert; such knowledge is the basis of a fuzzy algorithm.
The control is carried out adaptively on the basis of a fuzzy rule base in which the so-called Consequents of the IF THEN rules are modified through a proper adaptive law which enables tracking the desired reference trajectory.
The knowledge is used to create heuristic rule-sets that form the basis of a fuzzy expert system, defined previously by Authors (2016) providing the foundation for the creation of a simulation tool that may be used as an educational tool to complement other learning methods.
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This paper proposes a novel framework for analysing and synthesising engineering system risks on the basis of a generic Fuzzy Evidential Reasoning (FER) approach.
However, unlike most existing automatic signature verification systems which employ traditional techniques (i.e. image processing techniques) to solve these problems, the proposed system is constructed on the basis of a novel fuzzy neural network called the POPFNN-TVR.
The nonlinear predictive control strategy is designed on the basis of a Takagi-Sugeno fuzzy-neural model and a simple optimization procedure.
This formed the basis of the development of a fuzzy rule induction algorithm using the methodology previously described in Rasmani et al (2009).
This formed the basis of the development of a fuzzy rule induction algorithm (using the methodology previously described in Rasmani et al, 2009) to classify the breast tumours into one of the seven classes (Abd et-Rehim et al, 2005; Soria et al, 2010; Green et al, 2013).
The proposed ANOVA method is on the basis of a distance between symmetric fuzzy numbers which is easy to be used by professional clients.
Mahmoodian et al. [ 12] developed a new algorithm on the basis of fuzzy association rule mining to identify fuzzy rules and significant genes.
On the basis of the fuzzy comprehensive evaluation model, it presents an improved method for rank correlation analysis to determine the index weight.
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