Abstract
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.
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© 2006 International Federation for Information Processing
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Feng, Y., Li, W., Lv, Z. (2006). Reduced Attribute Oriented Handling of Inconsistency in Decision Generation. In: Shi, Z., Shimohara, K., Feng, D. (eds) Intelligent Information Processing III. IIP 2006. IFIP International Federation for Information Processing, vol 228. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-44641-7_62
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DOI: https://doi.org/10.1007/978-0-387-44641-7_62
Publisher Name: Springer, Boston, MA
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