A Fuzzy Inference System for Multiple Criteria Job Evaluation Using Fuzzy AHP


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Kutlu A. C. , Behret H. , Kahraman C.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.23, ss.113-133, 2014 (SCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 23
  • Basım Tarihi: 2014
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Sayfa Sayıları: ss.113-133

Özet

Job evaluation is defined as the methods and practices of ordering jobs or positions with respect to their value or worth to the organization. The purpose of the job evaluation is eliminating the pay inequalities by developing a pay structure based on values of the jobs. The job evaluation problem may be treated as a managerial decision-making problem under multiple criteria. In this study, an integrated fuzzy approach is developed for job evaluation problem which aims to establish a base for an ideal compensation system. In the proposed approach initially, the relative importance weights of the job factors are determined and subsequently, job compensation groups are maintained by a fuzzy inference system integrated with importance weights of the factors. A sample case study has been considered and ten different jobs are classified into four different job compensation groups according to the proposed approach.