| In this paper, the methods for clothing sensory design were studied systematically according to its characters. The clothing design elements, semantic expression, reflection between the former two items, and the design rules were discussed, analyzed and represented. Then, the knowledge base for clothing sensory design was constructed. The whole research idea of the acquisition and representation of the experts'knowledge was put forward. On the basis of knowledge acquired, the procedure of clothing recommendation and interactive design was introduced and analyzed which could improve the cognition consistency between the designers and the customers. The men's suit was used as a case study to explain the whole procedure, methods and results of knowledge base construction. All techniques and methods were not limited to men's suit itself but extended to other garments or products. The conclusions of the paper would play an important role in realizing the goals such as clothing individuation, sensation, intellectualization and fashion etc..The content of the knowledge for clothing sensory design was defined. It involved four interrelated parts, namely clothing design elements, the clothing semantic expressing, reflection between the design elements and the semantic expression, and the clothing design rule. The character and contents of each part were discussed and analyzed respectively. The results would be the base of the further knowledge acquisition and representation and moreover the construction of the knowledge base.The technique path and method of experts'knowledge acquisition and representation were analyzed. The design elements were discussed, analysed and decomposed by using interviewing and laddering methods and then represented in the form of hierarchy structure so as to build the design elements space. The men's suit was used to explain whole procedure and got some results. The style design elements of the men's suit were decomposed into 9 items: silhouette, style line of collar, fall, break point, rever position, facing corner, bust pocket, waist pocket and decoration. And the items could be decomposed further into 28 categories. 26244 kinds of clothing style could be got by the elements combination. The elements of clothing color design were discussed and analyzed, and then the 89-kind-color sample base (79-kind-chromatic color and 10-kind achromatic color) was obtained for further recommendation on the base of three design elements hue, value and chroma. The elements of clothing material design was discussed and analyzed from both extrinsic character and intrinsic character.The interviewing, card sorting, AHP (analytic hierarchy process) and fuzzy mathematics theory were used not only to build the corresponding semantic space but also to acquisition the reflection rule between the design elements space and semantic space. The triangular fuzzy numbers were introduced to quantify the 7-point scales of linguistic descriptions (extreme, very, rather, average, rather, very and extreme). The design rule of the men's suit was obtained by the method of literature reviewing and interviewing. It included both the basic rule derived from the beauty rule and the design principle based on consumer's character such as body type and facial color etc. The corresponding knowledge of the design rule was obtained, collated and recorded in the form of table. During the research of the men's suits, a large amount of adjective words related to the sensory were collected. After the primary analysis discussion and filtration, 68 adjective words were prepared for card sorting. According to the intimate degrees between the words, the semantic space of the sensory evaluation towards the men's suit was modeled in the form of 4 word-pairs: formal- casual, classical- modern, gorgeous- simple and elegant- masculine Moreover, the relative design rules of men's suit were acquired and represented.On the basis of the research above, the process of customer-based fuzzy recommdation and interactive design were studied. Based on the knowledge base and consumer'desirability acquired, the knowledge-based recommendation was realized. The customer needs was ranked on basis of their importance by using the technique of AHP. Based on the theory of the fuzzy synthesis evaluation, the customers'requirement was analysed, and all samples which was composed of different design elements could be sorted into different sets respectively. The recommendation results towards the sole or multi requirements were the clothing set including lots of clothing from which the consumers can choose their preferences. During the process of the fuzzy recommendation, the clothing set can be adjusted and the interactive design could be done on the basis of the appraisal of the customers until the satisfactory result appeared. Through the data mining, the customers'knowledge acquisition and mining model would be built and the cognition of the customers would be understood. CA (the conjoint analysis) method could be used and the proper profiles including multiple conjoined design elements were chosen and the customers'knowledge of the relation between the design elements space and semantic space was acquired. The acquisition of customer's knowledge could improve cognition consistency between the experts and customers and provide reference to the renewal and perfection of the knowledge base.Finally, based on the research conclusions above, the computer technology and artificial intelligence technology were involved and the application system for clothing was designed and developed. The system was developed by VB programming language, database management software Access and ADO connection, which was composed of database, interface and three modules (knowledge management module, clothing recommendation and interactive design module and customers'knowledge acquisition module). The function such as knowledge management, data memory, clothing recommendation, interactive design and customers'knowledge acquisition etc. could be realized in this system.
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