Article ID Journal Published Year Pages File Type
402994 Knowledge-Based Systems 2011 7 Pages PDF
Abstract

This study deals with the problem of knowledge reduction in decision formal contexts. From the perspective of rule acquisition, a new framework of knowledge reduction for decision formal contexts is formulated and a corresponding reduction method is also developed by using the discernibility matrix and Boolean function. The presented framework of knowledge reduction is for general decision formal contexts, and based on the proposed reduction method, knowledge hidden in a decision formal context can compactly be unravelled in the form of implication rules.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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