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

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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 http://hdl.handle.net/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


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