Xiaoming Ma

Huazhong University of Science and Technology, Wu-han-shih, Hubei, China

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Publications (3)0 Total impact

  • Wenhai Li · Yucai Feng · Xiaoming Ma ·
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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.
    Granular Computing, 2006 IEEE International Conference on; 06/2006
  • Yucai Feng · Wenhai Li · Zehua Lv · Xiaoming Ma ·
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    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.
    Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings; 01/2006
  • Yucai Feng · Wenhai Li · Zehua Lv · Xiaoming Ma ·
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    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.
    Intelligent Information Processing III, IFIP TC12 International Conference on Intelligent Information Processing (IIP 2006), September 20-23, Adelaide, Australia; 01/2006

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  • 2006
    • Huazhong University of Science and Technology
      Wu-han-shih, Hubei, China