A fuzzy inference system for multiple criteria job evaluation using fuzzy AHP

Ahmet C. Kutlu, Hülya Behret, Cengiz Kahraman

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)113-133
Number of pages21
JournalJournal of Multiple-Valued Logic and Soft Computing
Volume23
Issue number1-2
Publication statusPublished - 2014

Keywords

  • Fuzzy AHP
  • Fuzzy inference system
  • Job evaluation
  • Multi-criteria decision making

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