Possibilistic Rule Evaluation: A case study in facial expression analysis

Wallace, M; Ioannou, S; Karpouzis, K; Kollias, S

dc.contributor.author	Wallace, M	en
dc.contributor.author	Ioannou, S	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:55:11Z
dc.date.available	2014-03-01T01:55:11Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27633
dc.relation.uri	http://www.ijfs.org.tw/ePublication/2006_paper_4/06%20wallace%20-%20rule%20evaluation%20-%20final.pdf	en
dc.relation.uri	http://www.image.ece.ntua.gr/papers/476.pdf	en
dc.subject	Arsenic	en
dc.subject	Case Study	en
dc.subject	Facial Expression Analysis	en
dc.subject	Fuzzy Rules	en
dc.subject	Expert System	en
dc.title	Possibilistic Rule Evaluation: A case study in facial expression analysis	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	Fuzzy rule systems are an important element in the arsenal of automated control, as they are able to process the input provided by sensors and provide their output in very small times. Lately, there has been augmented interest in utilizing fuzzy rule sys- tems in a wider range of applications, due to the in- tuitive way in which they represent	en