This paper discusses rule-based reasoning parameter consistency management system based on knowledge in concurrent and corroborative product design using a combination of both mathematical methods and knowledge-based Engineering (KBE) techniques. First, the framework of the parameter consistency management system is developed. Second, a data-mining algorithm known as the fuzzy-rough algorithm is presented for modelling of knowledge-level constraints from numerical simulation. Then, the method of integrated case-based reasoning (CBR) and rule-based reasoning (RBR) with an interval consistency algorithm is adopted to predict the potential conflicts and specify the interval of design parameters. Finally, ontology is used as a communication language between cooperating engineering design teams. The system is demonstrated by the design of a crank connecting link in a V6 engine.
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