Due to the discarded attributes, the effectual condition classes of the decision rules are highly different. To provide a unified evaluative measure, the derivation of each rule is depicted by the reduced attributes with a layered manner. Therefore, the inconsistency is divided into two primary categories in terms of the reduced attributes. We introduce the notion of joint membership function wrt. the effectual joint attributes, and a classification method extended from the default decision generation framework is proposed to handle the inconsistency. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Feng, Y., Li, W., Lv, Z., & Ma, X. (2006). Reduced attribute oriented inconsistency handling in decision generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 798–806). Springer Verlag. https://doi.org/10.1007/11875581_96
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