{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T12:19:30Z","timestamp":1770034770755,"version":"3.49.0"},"reference-count":82,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,8,11]]},"abstract":"<jats:p>When users choose a product, they consider the emotional experience triggered by the product form. In view of the fact that traditional kansei engineering can not effectively reflect the complex and changeable psychological factors of users, and it has not explored the complex relationship between customer satisfaction and perceptual demand characteristics. To address this problem, some uncertainty techniques including rough sets and fuzzy sets are applied to capture more accurate emotion knowledge. Therefore, this research proposes an integrated evaluation gird method (EGM), rough set theory (RST), continuous fuzzy kano model (CFKM), fuzzy weighted association rule mining method to extract the significant relationship between user needs and product morphological features. The EGM is applied to analyze the attractive factor of morphological characteristics of the product, and then the demand items with the highest satisfaction are analyzed through CFKM. The semantic difference method is combined to construct a decision table, and through attribute reduction and importance calculation to obtain the weight of the core product design items. In order to explore the non-linear relationship between design elements and kansei images, the fuzzy weighted association rule mining method was applied to obtain the set of frequent fuzzy weighted association rules based on evidence theory\u2019s reliability indices of minimum support and confidence so as to realize user demand-driven product design. Taking the design of electric bicycle as an example, the experiment results show that the proposed method can help companies or designers develop products to generate good solutions for customer need.<\/jats:p>","DOI":"10.3233\/jifs-201829","type":"journal-article","created":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T13:15:52Z","timestamp":1618578952000},"page":"331-353","source":"Crossref","is-referenced-by-count":24,"title":["Integrating rough set theory with customer satisfaction to construct a novel approach for mining product design rules"],"prefix":"10.1177","volume":"41","author":[{"given":"Tianxiong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Art Design and Media, East China University of Science and Technology, Shanghai, China"}]},{"given":"Meiyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Art Design and Media, East China University of Science and Technology, Shanghai, China"}]}],"member":"179","reference":[{"issue":"5","key":"10.3233\/JIFS-201829_ref1","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.csi.2013.01.002","article-title":"A novel approach to incorporate customer preference and perception into product configuration: A case study on smart pads","volume":"35","author":"Wang","year":"2013","journal-title":"Computer Standards & Interfaces"},{"issue":"2","key":"10.3233\/JIFS-201829_ref2","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1504\/IJPQM.2014.059176","article-title":"Integrating kansei engineering and revised kano model with a case study in the automobile industry","volume":"13","author":"Shahin","year":"2014","journal-title":"International Journal of Productivity and Quality Management"},{"key":"10.3233\/JIFS-201829_ref3","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.foodres.2015.04.015","article-title":"A review of the current state of emotion research in product development","volume":"76","author":"Meiselman","year":"2015","journal-title":"Food Research International"},{"issue":"21","key":"10.3233\/JIFS-201829_ref4","doi-asserted-by":"crossref","first-page":"6335","DOI":"10.1080\/00207543.2014.939777","article-title":"Quantification and integration of kano\u2019s model into qfd for optimising product design","volume":"52","author":"Ji","year":"2014","journal-title":"International Journal of Production Research"},{"issue":"1","key":"10.3233\/JIFS-201829_ref5","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0169-8141(94)00052-5","article-title":"Kansei engineering: A new ergonomic consumer-oriented technology for product development","volume":"15","author":"Nagamachi","year":"1995","journal-title":"International Journal of Industrial Ergonomics"},{"issue":"3","key":"10.3233\/JIFS-201829_ref6","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0003-6870(02)00019-4","article-title":"Kansei engineering as a powerful consumer-oriented technology for product development","volume":"33","author":"Nagamachi","year":"2002","journal-title":"Applied Ergonomics"},{"key":"10.3233\/JIFS-201829_ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ergon.2019.102829","article-title":"Automatic digital mood boards to connect users and designers with kansei engineering","volume":"74","author":"Zabotto","year":"2019","journal-title":"International Journal of Industrial Ergonomics"},{"key":"10.3233\/JIFS-201829_ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2017\/5187521","article-title":"Product form design model based on multiobjective optimization and multicriteria decision-making","volume":"2017","author":"Shieh","year":"2017","journal-title":"Mathematical Problems in Engineering"},{"key":"10.3233\/JIFS-201829_ref9","doi-asserted-by":"crossref","unstructured":"Kheybari S. , Rezaie F. 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