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Intelligent advisory systems for fab...

Lau, Tak Wah.

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Intelligent advisory systems for fabric selection.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent advisory systems for fabric selection./
作者:	Lau, Tak Wah.
面頁冊數:	579 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 4267.
Contained By:	Dissertation Abstracts International65-08B.
標題:	Textile Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3142112
ISBN:	0496001426

Intelligent advisory systems for fabric selection.
Lau, Tak Wah.

Intelligent advisory systems for fabric selection. - 579 p.

Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 4267.

Thesis (Ph.D.)--Hong Kong Polytechnic University (People's Republic of China), 2004.

In general, the selection of fabric relies on the user's preferences. Such preferences are expressed in terms of psychological perceptions of fabric hand. Fabric hand is commonly adopted for the assessment of fabric quality and prospective performance in a particular end use. The fabric hand is primarily assessed by subjective judgments from sensory experts. Subjective judgment treats fabric hand as the outcome of the psychological chain reactions initiated from the sense of touch and combined with the sensitivity and the experience of judges.

ISBN: 0496001426Subjects--Topical Terms:

1020710
Textile Technology.

Intelligent advisory systems for fabric selection.
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245 1 0 $a Intelligent advisory systems for fabric selection.
300 $a 579 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-08, Section: B, page: 4267.
500 $a Supervisors: Patrick C. L. Lui; Frency S. F. Ng; Keith K. C. Chan.
502 $a Thesis (Ph.D.)--Hong Kong Polytechnic University (People's Republic of China), 2004.
520 $a In general, the selection of fabric relies on the user's preferences. Such preferences are expressed in terms of psychological perceptions of fabric hand. Fabric hand is commonly adopted for the assessment of fabric quality and prospective performance in a particular end use. The fabric hand is primarily assessed by subjective judgments from sensory experts. Subjective judgment treats fabric hand as the outcome of the psychological chain reactions initiated from the sense of touch and combined with the sensitivity and the experience of judges.
520 $a Conventional fabric hand evaluation system utilizes an old-fashioned Total Hand Value (THV) as a metric to model the subjective fabric hands based on fabric properties. The Kawabata's evaluation system (KES) developed by Kato Tech Company is an example that has a systematic approach on modeling fabric hand. This method has become a standard evaluation system in the industries nowadays. However, these specialized systems could not advise the users which type of fabric is most likely matched his/her psychological perceptions of fabric hand.
520 $a In this thesis, we have built and characterized an intelligent advisory system for individuals in fabric selection based on his/her psychological perceptions of fabric hand. We modeled the relationship between the sensory perceptions of fabric hand and fabric properties using a neural networks approach for generating the rules for the selection making functionality. The selection advisory system was constructed using a fuzzy rule-based expert system and was validated by individuals. It was proved that the proposed advisory system is able to advise on the desired fabrics for individuals based on inputs of his/her preferred sensory ratings of 14 fabric hand descriptors. The results verified the robustness of the proposed hybrid fuzzy-neural advisory system that could provide satisfactory performance in the new idea.
590 $a School code: 1170.
650 4 $a Textile Technology. $3 1020710
650 4 $a Artificial Intelligence. $3 769149
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710 2 0 $a Hong Kong Polytechnic University (People's Republic of China). $3 1288341
773 0 $t Dissertation Abstracts International $g 65-08B.
790 1 0 $a Lui, Patrick C. L., $e advisor
790 1 0 $a Ng, Frency S. F., $e advisor
790 1 0 $a Chan, Keith K. C., $e advisor
790 $a 1170
791 $a Ph.D.
792 $a 2004
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