AN INTEGRATED FUZZY AHP AND TOPSIS TECHNIQUE TO EVALUATE THE JOBS IN A FURNITURE COMPANY
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
WORLD SCIENTIFIC PUBL CO PTE LTD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents an integrated fuzzy method for the evaluation of jobs in a furniture company in Turkey. Job evaluation provides to build up a sustainable pay structure on the basis of relative values of the jobs. The job evaluation problem can be considered as multi-criteria decision making problem. Multi-criteria decision making techniques, Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are used for the evaluation. The paper addresses the evaluation of jobs in fuzzy environment to prevent the deviations of managerial assessments. The fuzzy AHP method (FAHP) is used for pair-wise comparisons. More stable weights were obtained with FAHP and then, by introducing these weights in the fuzzy TOPSIS method for a real world problem including 141 different blue collar jobs in the company has been considered. The relative worth of various levels of job factors have been calculated numerically. Finally, a ranking of jobs was obtained.
Açıklama
12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS) -- AUG 24-26, 2016 -- Roubaix, FRANCE
Anahtar Kelimeler
Kaynak
UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
10
