GENERATING WEIGHTED FUZZY RULES FOR HANDLING CLASSIFICATION PROBLEMS
Shyi‐Ming Chen, Hao-Lin Lin · Int. J. Electron. Bus. Manag. · 2005
In recent years, many methods have been proposed to generate fuzzy rules from a set of training data. In this paper, we present a new method to automatically generate weighted fuzzy rules from a set of training data, where the attributes appearing in the antecedent parts of the generated fuzzy rules have different weights, respectively. We also apply the generated weighted fuzzy rules to deal with the “Saturday Morning Problem” [18]. The proposed method can get a higher classification accuracy rate than the existing methods.