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Data mining based on rough set is introduced into CBR (Case-based Reasoning) system. And learning model of case base is established. The potential knowledge of case base is obtained and studied, through attribute reduction and attribute value reduction. Meanwhile, the structure and performance of case base is maintained and improved, through case reduction. The establishment of case base learning...
In this paper, we present an index system for reverse logistics processing center location. And then we put forward a decision table based on the index system. In the decision table, one potential processing center is regarded as one subject, and the values of its index are regarded as the condition attributes of the table. But because all of the values are continuous, we must discrete them in order...
In this paper, firstly a multi-stage reverse logistics network model is described and an index system for reverse logistics processing center location is presented. Secondly, a programming model is designed for the system where the values are continuous. Thirdly, the computational results is transformed into an information system, where one potential processing centers is regarded as a subject, and...
High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in...
The theory of rough set, raised by Polish scholar Z.Pawlak, is used as a mathematical tool that dealt with the probabilistic and fuzzy objects, takes on the function of simulating human preventative thinking. This text pass combining the rough set theory with TOPSIS method, and used in the process of desulfuration projects decision evaluation, through the analysis and research could be found that...
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