Oct 7, 2013 · This model applies a problem decomposition strategy, in which the task of finding a complete rule base is reduced to a sequence of subproblems ...
Abstract—Different fuzzy rule-based learning algorithms use the sequential covering strategy. This model applies a problem decomposition strategy, in which ...
David García, Antonio González Muñoz , Raúl Pérez : A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm.
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. David Garcia, Antonio González, Raúl Pérez.
We propose a modified version of the iterative rule learning algorithm in order to extract simple rules relaxing this natural trend.
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. ABSTRACT Different fuzzy rule-based learning algorithms ...
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. IEEE International Conference on Fuzzy Systems. 2013 ...
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm · Computer Science. IEEE International Conference on Fuzzy ...
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. IEEE International Conference on Fuzzy Systems · An empirical ...
Oct 22, 2024 · In this research, we proposed an iterative mixed-integer programming algorithm to generate fuzzy rules for fuzzy rule-based classification ...
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