An Application of the Fuzzy ELECTRE Method for Academic Staff Selection

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Date

2013

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Publisher

Wiley

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

There are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.

Description

Erkan, Turan Erman/0000-0002-0078-711X; Erdebilli, Babek/0000-0001-8860-3903; Erkan, Turan Erman/0000-0002-0078-711X

Keywords

Academic Staff Selection, Multi-Criteria Decision-Making (MCDM), Fuzzy ELECTRE, Human Resources

Turkish CoHE Thesis Center URL

Citation

63

WoS Q

Scopus Q

Q2

Source

Volume

23

Issue

2

Start Page

107

End Page

115

URI

https://doi.org/10.1002/hfm.20301
 https://hdl.handle.net/20.500.14411/457

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