A Study on the Integration Reasoning of Rule - Base and Case - Base Using Rough Set


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 1, pp. 103-110, Jan. 1998
10.3745/KIPSTE.1998.5.1.103,   PDF Download:

Abstract

In case of traditional Rule-Based Reasoning(RBR) and Case-Based Reasoning(CBR), although knowledge is reasoned either by one of them of by the integration of RBR and CBR, there is a problem that much time should be consumed by numerous rules and cases. In order to improve this time-consuming problem, in this paper, a new type of reasoning technique, which is a kind of integration of reduced RB and CB, is to be introduced. Such a new type of reasoning uses Rough Set, by which we can represent multi-meaning and/or random knowledge easily. In Rough Set, solution is to be obtained by its own complementary rules, using the process of RB and CB into equivalence class by the classification and approximation of Rough Set, and them using RB and CB through the integrated reasoning.


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Cite this article
[IEEE Style]
J. S. Hwa and C. H. Mook, "A Study on the Integration Reasoning of Rule - Base and Case - Base Using Rough Set," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 1, pp. 103-110, 1998. DOI: 10.3745/KIPSTE.1998.5.1.103.

[ACM Style]
Jin Sang Hwa and Chung Hwan Mook. 1998. A Study on the Integration Reasoning of Rule - Base and Case - Base Using Rough Set. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 1, (1998), 103-110. DOI: 10.3745/KIPSTE.1998.5.1.103.