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This paper presents further experiments for the FUZZY-WRAPPER, a feature subset selection method based on the Wang & Mendel method to generate fuzzy rule bases. This method aims at providing a means of selecting features taking into consideration aspects of fuzzy logic based representations, such as number, shape, and distribution of fuzzy sets, and reasoning method. The main idea is to consider...
This paper derives sufficient conditions for a single-input single-output fuzzy system whose output is convex with respect to its input. They are composed of two parts: the constraint on input membership functions and the constraint on the THEN parts of fuzzy rule base. And we prove in a constructive manner that any continuously differentiable single-input single-output convex function can be approximated...
This paper presents a multi-agent system (MAS) for reduction of the bullwhip effect in fuzzy supply chains. First, it is shown that, even using an optimal ordering policy, without data sharing the bullwhip effect still exists in the supply chain. Then a multi-agent system is proposed to manage the bullwhip effect. The multi-agent system has four different types of agents. The multi-agent system applies...
This work describes the Fuzzy-CCM (Fuzzy Conditional Clustering based Modeling) method, which generates fuzzy rules automatically using the conditional Fuzzy C-Means algorithm, and proposes the use of a new strategy for attributes combination on the context definition step, using heuristic search based on the criteria of best performance. This strategy allows the reduction of the number of contexts...
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