Sensory evaluation of men's suitings based on a fuzzy-genetic model
The tactile assessments on a set of men's suitings were conducted by an expert panel according to the standardized techniques and processes. Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy re...
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| creator | Zhebin Xue Yan Chen |
| description | The tactile assessments on a set of men's suitings were conducted by an expert panel according to the standardized techniques and processes. Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy relations between various sensory components and the total fabric hand. In this method, fuzzy comprehensive evaluation (FCE) was introduced to model the sensory evaluation, and the genetic algorithm was applied to seek a near-optimal weight distribution amongst the seven evaluation criteria. Finally, by comparison with the heuristic methods and the experimental results, the fuzzy-genetic model proposed in this study was verified to be effective and reliable. |
| doi_str_mv | 10.1109/CAIDCD.2009.5375001 |
| format | Conference Proceeding |
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Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy relations between various sensory components and the total fabric hand. In this method, fuzzy comprehensive evaluation (FCE) was introduced to model the sensory evaluation, and the genetic algorithm was applied to seek a near-optimal weight distribution amongst the seven evaluation criteria. 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Finally, by comparison with the heuristic methods and the experimental results, the fuzzy-genetic model proposed in this study was verified to be effective and reliable.</description><subject>Design engineering</subject><subject>Educational institutions</subject><subject>fabric hand</subject><subject>Fabrics</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Principal component analysis</subject><subject>sensory evaluation</subject><subject>suiting</subject><subject>Testing</subject><subject>Textiles</subject><isbn>9781424452668</isbn><isbn>142445266X</isbn><isbn>1424452686</isbn><isbn>9781424452682</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kDtrwzAcxFVKoE3qT5BFWye7elrSGJw-AoEOzR4k66-g4kex7ILz6ZvS9Jbj-B03HEJrSgpKiXmqNrtttS0YIaaQXElC6A1aUsGEkKzU5S3KjNL_udQLtPztGi4lpXcoS-mTXCQkF0zdo-oDutQPM4Zv20x2jH2H-4Bb6B4TTlMcY3dK2NkEHl-QxWE6n-f8BB2MscZt76F5QItgmwTZ1Vfo8PJ8qN7y_fvrrtrs82jImCtGuDPEgTAl18GCcYoybxjlXNRBMea9Zw6M1U7WhDOpSsu9c9oHS2zgK7T-m40AcPwaYmuH-Xj9gP8AVBROIw</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>Zhebin Xue</creator><creator>Yan Chen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200911</creationdate><title>Sensory evaluation of men's suitings based on a fuzzy-genetic model</title><author>Zhebin Xue ; Yan Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-7203b90be49638fae9b712d921334cf722ddd2be9a8b5c032576a3dbb8dfa0af3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Design engineering</topic><topic>Educational institutions</topic><topic>fabric hand</topic><topic>Fabrics</topic><topic>Fuzzy set theory</topic><topic>Fuzzy sets</topic><topic>genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Principal component analysis</topic><topic>sensory evaluation</topic><topic>suiting</topic><topic>Testing</topic><topic>Textiles</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhebin Xue</creatorcontrib><creatorcontrib>Yan Chen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhebin Xue</au><au>Yan Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sensory evaluation of men's suitings based on a fuzzy-genetic model</atitle><btitle>2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design</btitle><stitle>CAIDCD</stitle><date>2009-11</date><risdate>2009</risdate><spage>2123</spage><epage>2128</epage><pages>2123-2128</pages><isbn>9781424452668</isbn><isbn>142445266X</isbn><eisbn>1424452686</eisbn><eisbn>9781424452682</eisbn><abstract>The tactile assessments on a set of men's suitings were conducted by an expert panel according to the standardized techniques and processes. Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy relations between various sensory components and the total fabric hand. In this method, fuzzy comprehensive evaluation (FCE) was introduced to model the sensory evaluation, and the genetic algorithm was applied to seek a near-optimal weight distribution amongst the seven evaluation criteria. Finally, by comparison with the heuristic methods and the experimental results, the fuzzy-genetic model proposed in this study was verified to be effective and reliable.</abstract><pub>IEEE</pub><doi>10.1109/CAIDCD.2009.5375001</doi><tpages>6</tpages></addata></record> |
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| subjects | Design engineering Educational institutions fabric hand Fabrics Fuzzy set theory Fuzzy sets genetic algorithm Genetic algorithms Principal component analysis sensory evaluation suiting Testing Textiles |
| title | Sensory evaluation of men's suitings based on a fuzzy-genetic model |
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