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This paper introduced the basic concept and characteristics of the rough set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.
Rough set theory and formal concept analysis were invented by Pawlak and Wille in the 1980s and have been applied successfully in several domains. In this paper, we propose a new case-based classifier system based on an integrated rough set theory and formal concept analysis technique. We focus on the construction of a better knowledge base to produce the classification rules. Our system employs rough...
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operators on a knowledge base, which are adequate for generating new knowledge through using known knowledge. Then, we establish the relationship between knowledge and knowledge granulation. These results will be very helpful for...
Reduction of knowledge is one of the important issues in the research of rough set theory. It has been proven that the search for an optimal (minimal) reduction of decision table is NP-hard problem. Thus people have been trying to search for more efficient heuristic algorithms to get an approximate reduction of decision table all the time. Every heuristic must depends on a measure of the significance...
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