Art

J-GLOBAL ID：201702286769484852   Reference number：17A0131460

Application of Affective Engineering and Fuzzy Analytical Hierarchy Process in Thai Ceramic Manufacturing

タイのセラミック製造における感性工学及びファジィ階層分析法の応用

Author (3)： KITTIDECHA Chaiwat (Information Science and Control Engineering, Nagaoka University of Technology) ,  MARASINGHE Ashuboda Chandrajith (Information Science and Control Engineering, Nagaoka University of Technology) ,  YAMADA Koichi (Information Science and Control Engineering, Nagaoka University of Technology)
Material： International Journal of Affective Engineering (Web)  (Int J Affect Eng (Web))
Volume： 15  Issue： 3  Page： 325-334(J-STAGE)  Publication year： 2016 
JST Material Number： U0401A  ISSN： 2187-5413  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： the Kingdom of Thailand ,  *ceramics ,  manufacturing ,  *engineering ,  *AHP ,  product design
Semi thesaurus term： *fuzzy AHP ,  *Kansei Engineering ,  設計特性

Author keywords (3)： Ceramic ,  Affective engineering ,  Fuzzy analytic hierarchy process

JST classification (2)： Production engineering in general  (KB01000U) ,  Logic algebra  (JB03000H)

Reference (22)：

• 1. S. Yang, M. Nagamachi, S. Y. Lee; Rule-based inference model for the Kansei Engineering System, International Journal of Industrial Ergonomics, 24(5), pp.459-471, 1999.
• 2. M. C. Chuang, Y. C. Ma; Expressing the expected product images in product design of micro-electronic products, International Journal of Industrial Ergonomics, 27(4), pp.233-245, 2001.
• 3. M. Nagamachi; Kansei Engineering; Kaibundo Publisher, Tokyo, 1993.
• 4. M. Nagamachi; Kansei engineering as a powerful consumer-oriented technology for product development, Applied Ergonomics, 33(3), pp.289-294, 2002.
• 5. Y. Huang, C. H. Chen, L. P. Khoo; Kansei clustering for emotional design using a combined design structure matrix, International Journal of Industrial Ergonomics, 42(5), pp.416-427, 2012.

Terms in the title (6)： タイ ,  セラミック ,  感性工学 ,  ファジィ ,  階層分析法 ,  応用