Cun-Gen Liu

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Knowledge-based modeling is a trend in complex system modeling technology. To extract the process knowledge from an information system, an approach of knowledge modeling based on interval-valued fuzzy rough set is presented in this paper, in which attribute reduction is a key to obtain the simplified knowledge model. Through defining dependency and(More)
This paper proposes a novel approach to similarity-based approximate reasoning in an interval-valued fuzzy environment. In a rule-based system, an 'if ... then ...' rule can be translated into an interval-valued fuzzy relation by suitable implication operations. The similarity grade between a case and the antecedent of a rule is computed and used to modify(More)
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