Identification of fuzzy system based on gray relation
We propose a new gray relational measurement whose gray relational coefficient is called the gray relational coefficient of order k. Gray relational coefficient of order 1 is the traditional gray relational coefficient. With this new gray relational measurement, we can compute the gray relational ma...
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| container_end_page | 3404 vol.5 |
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| creator | Maw-Sheng Horng Kuo-Hui Tsai Jin-Long Wang Hsuan-Shih Lee |
| description | We propose a new gray relational measurement whose gray relational coefficient is called the gray relational coefficient of order k. Gray relational coefficient of order 1 is the traditional gray relational coefficient. With this new gray relational measurement, we can compute the gray relational matrix of order k for variables of systems. If k is large enough, the matrix would show the clusters of variables and the result is objective. |
| doi_str_mv | 10.1109/ICSMC.2000.886533 |
| format | Conference Proceeding |
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If k is large enough, the matrix would show the clusters of variables and the result is objective.</description><subject>Clustering methods</subject><subject>Computer science education</subject><subject>Educational institutions</subject><subject>Fuzzy systems</subject><subject>Guidelines</subject><subject>Information science</subject><subject>Mathematics</subject><subject>Oceans</subject><subject>Sea measurements</subject><subject>Transportation</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9780780365834</isbn><isbn>0780365836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8lKBDEURYMDWLb9AbrKD1T5MleWUjgUtLhQwV3z0nmRSA9SKRfVX29jCxfu4lwOXMauBTRCgL_tu9fnrpEA0LStNUqdsEoa52phjTllc-9aOERZ0yp9xioBVtZeyo8LdlnKF4AELdqKmT7Sdswpr3DMuy3fJZ5-9vuJl6mMtOEBC0V-AJ8DTnyg9d_sip0nXBea__eMvT_cv3VP9eLlse_uFnWWoMY6Ink0yQUP2huH0SepxCoagRI1RQyUYvA2aKOM1S45TMlDlMKTsgrUjN0cvZmIlt9D3uAwLY-H1S-AL0hE</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Maw-Sheng Horng</creator><creator>Kuo-Hui Tsai</creator><creator>Jin-Long Wang</creator><creator>Hsuan-Shih Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Identification of fuzzy system based on gray relation</title><author>Maw-Sheng Horng ; Kuo-Hui Tsai ; Jin-Long Wang ; Hsuan-Shih Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-dae9a5f7b904957ad9f231cd51a2a4edabefdb96b4535647f7aff90d219e36303</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Clustering methods</topic><topic>Computer science education</topic><topic>Educational institutions</topic><topic>Fuzzy systems</topic><topic>Guidelines</topic><topic>Information science</topic><topic>Mathematics</topic><topic>Oceans</topic><topic>Sea measurements</topic><topic>Transportation</topic><toplevel>online_resources</toplevel><creatorcontrib>Maw-Sheng Horng</creatorcontrib><creatorcontrib>Kuo-Hui Tsai</creatorcontrib><creatorcontrib>Jin-Long Wang</creatorcontrib><creatorcontrib>Hsuan-Shih Lee</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Maw-Sheng Horng</au><au>Kuo-Hui Tsai</au><au>Jin-Long Wang</au><au>Hsuan-Shih Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Identification of fuzzy system based on gray relation</atitle><btitle>Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0</btitle><stitle>ICSMC</stitle><date>2000</date><risdate>2000</risdate><volume>5</volume><spage>3400</spage><epage>3404 vol.5</epage><pages>3400-3404 vol.5</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9780780365834</isbn><isbn>0780365836</isbn><abstract>We propose a new gray relational measurement whose gray relational coefficient is called the gray relational coefficient of order k. Gray relational coefficient of order 1 is the traditional gray relational coefficient. With this new gray relational measurement, we can compute the gray relational matrix of order k for variables of systems. If k is large enough, the matrix would show the clusters of variables and the result is objective.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2000.886533</doi></addata></record> |
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| ispartof | Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 2000, Vol.5, p.3400-3404 vol.5 |
| issn | 1062-922X 2577-1655 |
| language | eng |
| recordid | cdi_ieee_primary_886533 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Clustering methods Computer science education Educational institutions Fuzzy systems Guidelines Information science Mathematics Oceans Sea measurements Transportation |
| title | Identification of fuzzy system based on gray relation |
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