Concerning automated assembly: Knowledge-based issues and a fuzzy system for assembly under uncertainty

Tzafestas, SG

dc.contributor.author	Tzafestas, SG	en
dc.date.accessioned	2014-03-01T01:45:54Z
dc.date.available	2014-03-01T01:45:54Z
dc.date.issued	1997	en
dc.identifier.issn	09515240	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24786
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0031176849&partnerID=40&md5=0648e28dd14af9f560c45cac0af1ed4b	en
dc.subject.other	Expert systems	en
dc.subject.other	Factory automation	en
dc.subject.other	Fuzzy control	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Fuzzy reasoning based techniques	en
dc.subject.other	Computer integrated manufacturing	en
dc.title	Concerning automated assembly: Knowledge-based issues and a fuzzy system for assembly under uncertainty	en
heal.type	journalArticle	en
heal.publicationDate	1997	en
heal.abstract	In this paper a review of some fundamental issues of knowledge-based approaches for automated assembly is presented. First, the basic requirements of automated assembly are discussed and the advantages of knowledge-based techniques are highlighted. Then a number of existing models and techniques for knowledge-based assembly are reviewed. Some of them deal with the uncertainty one way or another. It is argued that fuzzy logic- and fuzzy reasoning-based techniques are more adequate than others under specific circumstances. A hierarchical assembly expert system which is based on such techniques and is designed and implemented by the authors' group is then described. Finally, some results produced by this system are presented. © 1998 Elsevier Science Ltd. All rights reserved.	en
heal.journalName	Computer Integrated Manufacturing Systems	en
dc.identifier.volume	10	en
dc.identifier.issue	3	en
dc.identifier.spage	183	en
dc.identifier.epage	192	en