关键词: 感性工学, 粗糙集理论, 关联规则挖掘

Abstract: To acquire Kansei information effectively in the conceptual design, a new method of association rule mining for Kansei knowledge based on rough set theory was proposed. Firstly, with combinatorial evaluation of the product form features, a decision table indexed by Kansei words was generated by the statistical analysis on user′s Kansei questionnaire. And then, relevant attributes were simplified by rough set theory so as to extract the key form features which contributed largely to the corresponding Kansei evaluation. Association computation rules and their mergence were constructed to reduce the scale of the decision table. Finally, strongassociation-rule-sets were generated to guide the orientation and development of the conceptual design. The proposed method was implemented successfully in the cell phone design case.

Key words: Kansei engineering, rough set theory, association rule mining