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- W2390151985 abstract "To overcome the difficulty in acquiring and updating rules in RBR(Rule-Based Reasoning)systems and to accelerate the time-consuming retrieval process of CBR(Case-Based Reasoning)systems,a fuzzy set and rough set based approach of discove- ring tacit knowledge from stamping die designs is proposed in this paper.The mined knowledge is represented by rules.The knowledge discovery procedure consists of three steps:1)Fuzzy feature-based representation of stamping parts;2)Fuzzy-classi- fication of design cases;and 3)Rules mining based on Rough Set Theory.For verification,a case-base containing 53 stamping die designs was presented in a prototype system and 38 rules were automatically mined.Because of the case classification and at- tributes reduction,the CBR system's case retrieval speed can be highly accelerated.Furthermore,since the mined rules were in a form of production rules,this approach can be used to automatically create and update rules for RBR systems." @default.
- W2390151985 created "2016-06-24" @default.
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- W2390151985 date "2007-01-01" @default.
- W2390151985 modified "2023-09-22" @default.
- W2390151985 title "Applying rough sets to discover tacit knowledge from stamping die designs" @default.
- W2390151985 hasPublicationYear "2007" @default.
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