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A new approach to knowledge acquisition in interval-valued decision information system is proposed. In an interval-valued information system, by using the similarity degree of two different objects, a fuzzy similarity matrix, which generates a tolerance relation with a given level, is constructed. The universe of discourse is classified by the maximal tolerance classes based on the tolerance relation,...
The empirical data of product reliability design are often vague, comprehensive and incomplete. Information retrieval for reliability design depends on mining the knowledge applied to specific designing from mass empirical data. At the same time, designers are often lack of the judgments to accept or reject the reasoning results of reliability design knowledge. For these two issues, this paper presents...
The theory of vague set is a new theory in the field of fuzzy information processing. In this paper, we make an attempt to extend the approaches of computing attributes reductions in the literature. We first review the basic notion termed vague rough set by combing rough set theory and vague set theory. Then, by using the vague rough lower approximation distribution in the vague decision information...
Decision rules acquisition is based on attribute reduction, and Skowron??s discernable matrix is one of the most important methods of core finding and reduction. Basing on Skowron??s discernable matrix researching attribute reduction of decision system, this paper puts forward an algorithm for acquisition of decision rules and its application with Skowron??s discernable matrix as a base, and examples...
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