In this paper, we propose a new rough set classifier induced from partially uncertain decision system. The proposed classifier aims at simplifying the uncertain decision system and generating more significant belief decision rules for classification process. The uncertainty is reperesented by the belief functions and exists only in the decision attribute and not in condition attribute values.

In most electronic auctions conducted over the Internet today price is still the only decision criteria for the best bid. This is true for all sorts of auctions in the electronic business areas consumer-to-consumer (c2c), business-toconsumer (b2c), and business-to-business (b2b). Especially for many situations in the b2b area there are other important attributes apart from price to be considere...

In this paper proposed a hybrid model for feature selection and intrusion detection. Feature selection is important issue in intrusion detection. The selection of feature in attack attribute and normal traffic attribute is challenging task. The selection of known and unknown attack is also faced a problem of classification. PCNN is dynamic network used for the process of feature selection in cl...

This research examines how incidental pride may increase consumers’ tendency to seek uniqueness, depending on how they attribute the pride-inducing experience. Specifically, people who attribute their felt pride to personal traits (i.e., hubristic pride) are more likely to prefer unique options in unrelated situations, compared to tho‘se who attribute pride to effort (i.e., authentic pride). Th...

The multi-attribute decision-making methods allow to solve arbitrary problems governed by several parameters. In this paper, the choice of a composite material was analyzed, by considering the availability from four companies. The multi-attribute decision Analytic Hierarchy Process (AHP) procedure was used to select the best levels for different attributes, both parametric and non-parametric, a...

Pattern{Based Clustering for Database Attribute Values Matthew Merzbacher Wesley W. Chu Computer Science Department University of California Los Angeles, CA 90024 Abstract We present a method for automatically clustering similar attribute values in a database system spanning mulitple domains. The method constructs an attribute abstraction hierarchy for each attribute using rules that are derive...

For most attribute reduction in Pawlak rough set model (PRS), monotonicity is a basic property for the quantitative measure of an attribute set. Based on the monotonicity, a series of attribute reductions in Pawlak rough set model such as positive-region-preserved reductions and condition entropy-preserved reductions are defined and the corresponding heuristic algorithms are proposed in previou...

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...