The basic concepts of the rough set theory(RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem(CSSP) is presented. Through the RST, we get a good multi-attributes decision-making effect in the chemical solvents selection. This work demonstrates...

The irrationality of constructing weights, lending to subjectivity and without considering the redundancy of attributes, exists in traditional management decision-making. The important rating and important rating are first proposed by the attribute reduct in rough sets theory. Then, the important rating...

Rough Set based reduction algorithm is taken as a method for feature selection in abrupt shot boundary detection. First, some information of macro blocks is extracted in P frame of MPEG video sequence. Then the information of the motion-activity, the type of macro blocks and the motion-distribution are...

In this paper, a new extracting rule algorithm from incomplete information system is proposed. First, we produce a covering on a domain according to attribute value of the objects, and then reduces are made on this covering. Second, we utilize rough sets model based on covering to estimate unknown value,...

As a filter model, rough set-based methods are one of effective attribute reduction(also called feature selection) that preserve the meaning of the features. In rough set theory, researchers mainly focus on extension of the classical rough set model(also called Pawlak model for short) and development...

Logistics service project evaluation is a key step in project management. The evaluation tasks are not only covered by the whole project process, but also are perceived by characteristic of logistics service. According to project management’s hierarchical approach, we propose two evaluations in the theory...

As we known, ants are blind and single ant’s capacity is limited. But researchers have studied that ant colonies have egregious ability to search shorter path which loads between their nests and foods. Inspired from this and based on ant colony optimization(ACO), we propose a new approach about attributes...

Gene expression data has been used to analyse and classify disease in resent years. Combining the attribute importance in Rough Sets Theory and entropy in Information Theory, this paper introduces the study of the gene analysis and selection method. A novel algorithm, called RMSME, is proposed to use...

Fishery prediction by using long-term accumulated hydrology elements and catch statistic data has been an urgent requirement in aquatic domain. In this paper, 18 different WCPO (Western and Central Pacific Ocean) hydrology elements were collected and a key influence element set was found by using Rough...

In this paper, a hybrid intelligent system, combining rough set approach and fuzzy support vector machine (FSVM), is applied to the study of credit risk assessment in commercial banks. We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios...

Generally, two ways are used to handle null value in incomplete information systems. One is transforming an incomplete system to a complete system. The other is process the incomplete information table based on toleration relation. In this paper we propose a method to process the incomplete information...

In this article, we have established the concept of the upper and the lower approximation of nonconvex set. Meantime, the properties of rough approximation of non-convex set have been investigated. As we know, every non-convex set can be approached by the upper and lower approximation convex set with...