Apply Fuzzy Case-based Reasoning to Knowledge Acquisition of Product Style
Extracting product style from morphological features is an important method for style knowledge acquisition. And the repeated use of the similarity of design patterns in shape,, color and other factors of product at design stage is the main factor of the formation of the product style, which makes the case-based reasoning method suitable on style extraction research. Due to the uncertainties in representation, attribute description, and similarity measures of knowledge in product design issue, a fuzzy case-based reasoning (FCBR) was developed in product style extraction by using linguistic variables. A product is encoded by a vector consisting of many attributes, and product morphology database was established subsequently. Fuzzy K-Nearest Neighbors (FKNN) was introduced to define the style similarity between two products. The model for product style extraction was generated employing the proposed FCBR system, and the results were normalized by Fuzzy Sets. Experimental results show the effectiveness of the FCBR model when comparing it with other approaches in product form style extraction.
Product style knowledge acquisition Linguistic variables evaluation Fuzzy case based reasoning
He Xiaodong Wu Jianwu Shi Fuqian Cai Haiyan
Wenzhou Institute of Industry Science, Wenzhou, China Wenzhou Creative Design Center, DC, Wenzhou, C Wenzhou Institute of Industry Science,Wenzhou, China Wenzhou Creative esign Center, CDC, Wenzhou, Ch College of Computer Science and Technology, Zhejiang niversity, Hangzhou, China Wenzhou Creative Des Wenzhou nstitute of Industry Science, Wenzhou, China Wenzhou Creative Design Center, CDC, Wenzhou, C
国际会议
温州
英文
383-386
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）