Exact(36)
Thus the filtered fuzzy relation algorithm has practical application in assessing existing membership functions.
One is a constraint; and therefore, the inverse composite fuzzy relation operations are incorporated.
These fuzzy relation-based methods require a decision maker to perform pair-wise comparisons for the similarity among criteria as forming a fuzzy relation matrix.
Let us consider the fuzzy relation (mathcal {F}_{textit {BR}}) depicted in Table 1.
In this paper, the mapping from requirements into functions is considered as a fuzzy relation system.
A fuzzy relation model and a Gaussian dispersion model were integrated into this expert system.
Similar(24)
The main architectural developments of the FIS involve fuzzy relational antecedents (viz., antecedents represented in the form of fuzzy relations) and recurrent neural networks forming the consequents of the rules.
Guh et al. [8] established hierarchical structures for performance evaluation of ambiguous and humanistic complicated systems using a fuzzy relation-based cluster analysis.
To overcome the difficulties due to partial information and the vagueness of human knowledge and recognition, a fuzzy relation-based clustering method is proposed to model this evaluation.
Thus, in this paper we would like to extend fuzzy relations to interval-valued fuzzy relations and then construct interval-valued similarity relations for performance evaluation.
These rules represent the fuzzy relations between input and output variables.
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