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产品感性评价系统的模糊D-S推理建模方法与应用

Fuzzy Dempster-Shafer Evidence Theory and Its Application to Product Kansei Evaluation System

  • 摘要: 建立了用户对产品的感性评价与模糊D-S证据理论的关联模型;利用产生式规则来表达用户感性评价知识;以产品的部件外形来构成推理的证据部分;以感性词汇集及相应的语意差分值来定义规则的目标集.通过模糊D-S证据理论的规则合成算法,最终获得了用户对整体产品评价及可靠度.该方法能有效地解决感性认知中的"未知性"及评价目标的单一性问题,并在以汽车为例的概念设计中得到较好应用.

     

    Abstract: To evaluate products by using Kansei words,an approach was introduced based on fuzzy Dempster-Shafer theory(DST) in product Kansei evaluation system(KES).Kansei knowledge is represented as "if-then" rules,and evidences are composed of form features of products.The objective set represented by Fuzzy Set is defined with Kansei vocabulary and its relative semantic difference(SD) scale.The ultimate reliability of Kansei knowledge and Kansei evaluation of the products are acquired through a rule combination algorithm based on fuzzy DST.The proposed method was applied successfully in Auto-front-view conceptual design case.

     

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