Fuzzimetric employee evaluations system (FEES)

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dc.contributor.author Kouatli, Issam
dc.date.accessioned 2019-03-11T12:27:27Z
dc.date.available 2019-03-11T12:27:27Z
dc.date.copyright 2018 en_US
dc.date.issued 2019-03-11
dc.identifier.issn 1064-1246 en_US
dc.identifier.uri http://hdl.handle.net/10725/10171 en_US
dc.description.abstract Employee performance evaluations are one type of decision-making process that is embedded with uncertainty and ambiguity before concluding the final index. After reviewing different approaches to achieving such target, this paper introduces the implementation of fuzzification mechanism termed as “Fuzzimetric Sets” as a method of defining the minimum and maximum tolerance possibilities within pre-defined fuzzy sets. Decision-making evaluation process would be dependent on the inferred minimum to maximum defuzzified differences (spectrum). Based on this concept, a prototype was built to measure the employee performance level allowing much more flexibility when taking a decision under uncertainty. This application was termed as “Fuzzimetric Employee Evaluation System” (FEES). Comparative study of FEES was done by comparing the results of the work of another researcher investigated the same field of Fuzzy-employee-evaluation en_US
dc.language.iso en en_US
dc.title Fuzzimetric employee evaluations system (FEES) en_US
dc.type Article en_US
dc.description.version Published en_US
dc.title.subtitle A multivariable-modular approach en_US
dc.author.school SOB en_US
dc.author.idnumber 200301034 en_US
dc.author.department Information Technology And Operations Management en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Intelligent & Fuzzy Systems en_US
dc.journal.volume 35 en_US
dc.journal.issue 4 en_US
dc.article.pages 4717-4729 en_US
dc.keywords Fuzzy sets en_US
dc.keywords Employee performance systems en_US
dc.keywords Fuzzimetric arcs en_US
dc.keywords fuzzy inference modular approach en_US
dc.identifier.doi http://dx.doi.org/10.3233/JIFS-181202 en_US
dc.identifier.ctation Kouatli, I. (2018). Fuzzimetric employee evaluations system (FEES): A multivariable-modular approach. Journal of Intelligent & Fuzzy Systems, 35(4), 4717-4729. 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://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs181202 en_US
dc.author.affiliation Lebanese American University en_US

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