摘要
基于大量客制化的背景提出一种产品材质意象决策支持模型。该模型应用感性工学的理论架构,基于模糊层次分析法构建了产品材质与消费者感性意象之间的对应关系,用因子分析法提取产品材质风格因子,将意象词汇作为评价准则,采用模糊一致关系实现了模糊推导,使用模糊一致矩阵实现动态自适应。通过求解模型得到每个方案的排序值,方案排序结果最大程度地反映了决策者的偏好。通过座椅案例验证了该模型在实际应用中的实用性与有效性。
Aiming at the needs for product customization,this paper presented a decision-making support model based on the kansei engineering and the FAHP.Factor analysis was utilized to differentiate products into several styles;evaluation criteria were constructed by image words.It adopted fuzzy consistent relations to realize fuzzy reasoning rule and presented fuzzy consistent matrix method to accomplish dynamic adaptation.The results of defuzzification and sequencing are close to the psychological kansei image of the consumers.Finally,implementation of the proposed model was demonstrated in details via a case of chair material design.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2011年第14期1723-1728,共6页
China Mechanical Engineering
基金
中央高校基本科研业务费专项资金资助项目(2010QNA5042)
国家自然科学基金资助项目(61004116
51005203
61070075)
温州市科技计划资助项目(H20100042)
关键词
客制化产品
材质
意象
模糊层次分析
customized product
material
image
fuzzy analytic hierarchy process（FAHP）
