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A method to construct fuzzy rough model is proposed. By means of adaptive Gaustafason-Kessel (G-K) clustering algorithm, fuzzy partition can be accomplished ...
A method to construct fuzzy rough model is proposed. By means of adaptive Gaustafason-Kessel (G-K) clustering algorithm, fuzzy partition can be accomplished ...
A method to construct fuzzy rough model is proposed. By means of adaptive Gaustafason-Kessel (G-K) clustering algorithm, fuzzy partition can be accomplished ...
Fuzzy Rough Modeling Approach: Based on Fuzzy Clustering and GA Search Strategy. Gene Selection with Rough Sets for Cancer Classification · Information System ...
In the present study, a fuzzy approach is employed in order to develop a model for the conversion of synthesis gas to valuable hydrocarbon process.
Sep 29, 2022 · This paper proposed a hybrid fuzzy c-means (FCM) clustering algorithm and Fuzzy Network (FN) method-based model for prediction.
The purpose of this paper is to address the decrease in GA-based instance selection performance for regression tasks caused by the dataset size increase.
Aug 26, 2011 · This paper presents a short review of some of different approaches of GA-based clustering methods. ... based approach, when the clusters are hard ...
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In this study, we present a novel approach that more capably identifies the importance of each feature to the overall clustering.
Fuzzy Systems and Knowledge Discovery, Fourth International ...
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Fuzzy Rough Modeling Approach: Based on Fuzzy Clustering and GA Search Strategy pp. 161-166. Gene Selection with Rough Sets for Cancer Classification pp. 167 ...