Kansei engineering and application of the rough sets model
Abstract Kansei engineering was founded by M. Nagamachi at Hiroshima University about 30 years ago and has spread throughout the world. The aim of Kansei engineering is to develop a new product by translating a customer's psychological needs and feeling (Kansei) concerning it into design specif...
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| Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Journal of systems and control engineering, 2006-12, Vol.220 (8), p.763-768 |
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| container_title | Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering |
| container_volume | 220 |
| creator | Nagamachi, M Okazaki, Y Ishikawa, M |
| description | Abstract
Kansei engineering was founded by M. Nagamachi at Hiroshima University about 30 years ago and has spread throughout the world. The aim of Kansei engineering is to develop a new product by translating a customer's psychological needs and feeling (Kansei) concerning it into design specifications. Kansei data have so far been analysed using a multivariate statistical analysis to create new products, but Kansei data do not always have linear features assumed under normal distribution. The rough sets theory is able to deal with any kind of data, irrespective of linear or non-linear characteristics of the data. The results based on statistical analysis and rough sets theory are compared. |
| doi_str_mv | 10.1243/09596518JSCE161 |
| format | Article |
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Kansei engineering was founded by M. Nagamachi at Hiroshima University about 30 years ago and has spread throughout the world. The aim of Kansei engineering is to develop a new product by translating a customer's psychological needs and feeling (Kansei) concerning it into design specifications. Kansei data have so far been analysed using a multivariate statistical analysis to create new products, but Kansei data do not always have linear features assumed under normal distribution. The rough sets theory is able to deal with any kind of data, irrespective of linear or non-linear characteristics of the data. The results based on statistical analysis and rough sets theory are compared.</description><identifier>ISSN: 0959-6518</identifier><identifier>EISSN: 2041-3041</identifier><identifier>DOI: 10.1243/09596518JSCE161</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Design specifications ; Mechanical engineering ; Multivariate statistical analysis ; Normal distribution ; Product development ; Statistical analysis</subject><ispartof>Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2006-12, Vol.220 (8), p.763-768</ispartof><rights>2006 Institution of Mechanical Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-d202ed9a62ee9aed76a129594b8968a57903fd48ed0fd4a8096e009ff8f2e5093</citedby><cites>FETCH-LOGICAL-c403t-d202ed9a62ee9aed76a129594b8968a57903fd48ed0fd4a8096e009ff8f2e5093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1243/09596518JSCE161$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1243/09596518JSCE161$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21799,27903,27904,43600,43601</link.rule.ids></links><search><creatorcontrib>Nagamachi, M</creatorcontrib><creatorcontrib>Okazaki, Y</creatorcontrib><creatorcontrib>Ishikawa, M</creatorcontrib><title>Kansei engineering and application of the rough sets model</title><title>Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering</title><description>Abstract
Kansei engineering was founded by M. Nagamachi at Hiroshima University about 30 years ago and has spread throughout the world. The aim of Kansei engineering is to develop a new product by translating a customer's psychological needs and feeling (Kansei) concerning it into design specifications. Kansei data have so far been analysed using a multivariate statistical analysis to create new products, but Kansei data do not always have linear features assumed under normal distribution. The rough sets theory is able to deal with any kind of data, irrespective of linear or non-linear characteristics of the data. The results based on statistical analysis and rough sets theory are compared.</description><subject>Design specifications</subject><subject>Mechanical engineering</subject><subject>Multivariate statistical analysis</subject><subject>Normal distribution</subject><subject>Product development</subject><subject>Statistical analysis</subject><issn>0959-6518</issn><issn>2041-3041</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNp1kL1PwzAQxS0EEqUws1pCYiL0bCdOzIaq8lmJAZgtk1zSVKkd7GTgv8dRGRASN9wN7_eeTo-QcwbXjKdiASpTMmPF0-tyxSQ7IDMOKUtEXIdkNqnJJB-TkxC2EKdQ-YzcPBsbsKVom9Yi-tY21NiKmr7v2tIMrbPU1XTYIPVubDY04BDozlXYnZKj2nQBz37unLzfrd6WD8n65f5xebtOyhTEkFQcOFbKSI6oDFa5NIzHb9KPQsnCZLkCUVdpgRXEYwpQEgFUXRc1xwyUmJPLfW7v3eeIYdC7NpTYdcaiG4OOYakS-QRe_AG3bvQ2_qaZkooDCCYitdhTpXcheKx179ud8V-agZ6a1H-ajI6rvSOYBn9l_oN_A_Jlcew</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>Nagamachi, M</creator><creator>Okazaki, Y</creator><creator>Ishikawa, M</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20061201</creationdate><title>Kansei engineering and application of the rough sets model</title><author>Nagamachi, M ; Okazaki, Y ; Ishikawa, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-d202ed9a62ee9aed76a129594b8968a57903fd48ed0fd4a8096e009ff8f2e5093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Design specifications</topic><topic>Mechanical engineering</topic><topic>Multivariate statistical analysis</topic><topic>Normal distribution</topic><topic>Product development</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nagamachi, M</creatorcontrib><creatorcontrib>Okazaki, Y</creatorcontrib><creatorcontrib>Ishikawa, M</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nagamachi, M</au><au>Okazaki, Y</au><au>Ishikawa, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kansei engineering and application of the rough sets model</atitle><jtitle>Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering</jtitle><date>2006-12-01</date><risdate>2006</risdate><volume>220</volume><issue>8</issue><spage>763</spage><epage>768</epage><pages>763-768</pages><issn>0959-6518</issn><eissn>2041-3041</eissn><abstract>Abstract
Kansei engineering was founded by M. Nagamachi at Hiroshima University about 30 years ago and has spread throughout the world. The aim of Kansei engineering is to develop a new product by translating a customer's psychological needs and feeling (Kansei) concerning it into design specifications. Kansei data have so far been analysed using a multivariate statistical analysis to create new products, but Kansei data do not always have linear features assumed under normal distribution. The rough sets theory is able to deal with any kind of data, irrespective of linear or non-linear characteristics of the data. The results based on statistical analysis and rough sets theory are compared.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1243/09596518JSCE161</doi><tpages>6</tpages></addata></record> |
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| ispartof | Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2006-12, Vol.220 (8), p.763-768 |
| issn | 0959-6518 2041-3041 |
| language | eng |
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| source | SAGE Journals Online |
| subjects | Design specifications Mechanical engineering Multivariate statistical analysis Normal distribution Product development Statistical analysis |
| title | Kansei engineering and application of the rough sets model |
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