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CRM performance analysis using the concept of genetic fuzzimetric technique

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dc.contributor.author Kouatli, Issam
dc.date.accessioned 2017-11-15T13:47:41Z
dc.date.available 2017-11-15T13:47:41Z
dc.date.issued 2017-11-15
dc.identifier.uri http://hdl.handle.net/10725/6621 en_US
dc.language.iso en en_US
dc.title CRM performance analysis using the concept of genetic fuzzimetric technique en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOB en_US
dc.author.idnumber 200301034 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.keywords Fuzzy systems en_US
dc.keywords Decision Support Systems en_US
dc.keywords DSS en_US
dc.keywords CRM performance analysis en_US
dc.description.bibliographiccitations Includes bibliographical references en_US
dc.identifier.ctation Kouatli, I. CRM performance analysis using the concept of genetic fuzzimetric technique en_US
dc.author.email issam.kouatli@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://pdfs.semanticscholar.org/e2df/89f2bf3ceb268f9c4c5ef8aa34d595be2e27.pdf en_US
dc.author.affiliation Lebanese American University en_US


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