Abstract
Under the Ontology-based collaborative design framework constructed by OWL and SWRL, in order to further extend the expression and reasoning abilities of domain knowledge description and to achieve the reasoning based on fuzzy theory, this paper expresses fuzzy domain knowledge by fuzzy logic and realizes the reasoning to make the design process more intelligent. First, fuzzy variables are formed by describing related fuzzy domain concepts and rules in OWL and SWRL. Fuzzy sets which are described by membership functions are then used to define fuzzy variables. At last, the fuzzy knowledge-based collaborative product design is completed by using fuzzy reasoning. A case of die selection shows the feasibility and intelligence of this approach. © 2010 Springer-Verlag Berlin Heidelberg.
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Su, T., Qiu, X., & Yang, C. (2010). Study of collaborative design based on fuzzy theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6240 LNCS, pp. 153–160). https://doi.org/10.1007/978-3-642-16066-0_24
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