文献类型：期刊文献

英文题名：A method for product form design of integrating interactive genetic algorithm with the interval hesitation time and user satisfaction

作者：Wang, Tianxiong[1];Zhou, Meiyu[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2020

卷号：76

外文期刊名：INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS

收录：;EI(收录号：20200308032176);WOS:【SSCI(收录号:WOS:000527901000001)，SCI-EXPANDED(收录号:WOS:000527901000001)】；

语种：英文

外文关键词：Interactive genetic algorithm; Customer demand; Fuzzy kano model; User fatigue; User preference

摘要：Due to the continuous release of new products, manufacturers are paying attention to customer-oriented design of products that meet user needs to minimize the risk of their products being rejected by the market. Due to the ambiguity of user cognition, it is difficult to accurately obtain the user's preference for individual productions. To respond to the challenge, we propose an engineering scientific research method of interactive genetic algorithm with the interval arithmetic based on hesitation and fuzzy kano model(FKM) to explore the emotional needs of users for product forms and drive product modeling evolution design. Through expert interviews, the morphological characteristics and perceptual images factors of the products attracting users are investigated. In order to identify the user's satisfaction relationship with the perceptual images, we use FKM to analyze the product image style that meets the user's kansei needs accurately and selects 5 factors which is attractive attributes. Meanwhile, we attempt to transform this 5 factors into evaluation carrier to guide the evolution direction of product styling in HIIF-IGA, and then optimized four electric bikes with scores over 8.8 so that it could realize user demand-driven product evolution design. To handle users' ambiguity, the FAHP method is used to quantify the user's emotional imagery criterion and create a product evolution design system platform, which can automatically generate product styling design scheme in line with user preferences. This experimental results show that the proposed method can help enterprises effectively improve customer satisfaction and reduce the cost and time of product development.