Publications (3)0 Total impact
Conference Paper: Reduced Attribute Oriented Inconsistency Handling in Decision Generation[Show abstract] [Hide abstract]
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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ABSTRACT: In this paper, we present a new approximate method in incomplete information systems. We extend the semantics of the unavailable values in incomplete information systems. By applying the variable precision rough set model to the attribute sets of objects, the unavailable values are taken into account quantitatively under independently relative distribution hypothesis while establishing the approximate space in the incomplete information systems. We show how to shrink the search space based on variable precision rough set model via two-level approximation: space approximation and set approximation.
Conference Paper: Probabilistic Approximation under Incomplete Information Systems.[Show abstract] [Hide abstract]
ABSTRACT: By applying the probability estimation of the unavailable attributes derived from the available attributes to the neighborhood system, the suited degree of each neighbor to a given object is depicted. Therefore, the neighborhood space with guaranteed suited precision is obtained. We show how to shrink the rule search space via VPRS model for this space, and also, we will prove the incredibility degree of decision class is guaranteed by the two-layer thresholds.
Huazhong University of Science and TechnologyWu-han-shih, Hubei, China