A new approach to job evaluation through fuzzy sir

Hossein Safari, Mohammad Aghighi, Fatemeh Mirzaei Rabor, Virgílio António Cruz-Machado

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Job evaluation is carried out in order to choosing competent employees and compensates their services. To help in this selection, Occupational Information Network factors are used to assessing the various requirements that are necessary for doing the job. Job evaluation is a multiple criteria decision making in which multifarious criteria are required to be evaluated simultaneously. In this paper, a multi-criteria group decision making model has been developed based on fuzzy set theory to efficiently deal with the ambiguity of the decision making problems in practical cases to evaluate the jobs and comparing them. Namely it was used an integrated Delphi and fuzzy SIR for job evaluation. Firstly we used Delphi method to extract the weight of criteria in job evaluation. The importance of various criteria was gathered by Delphi method as linguistic variables. The proposed model utilizes superiority and inferiority ranking (SIR) method in fuzzy environment for comparing the performance of alternatives. Job evaluation and its problems as well as subjective judgment of appraiser are vague and uncertain, and so fuzzy set theory helps to convert decision maker preferences and judgments into meaningful results by applying linguistic values to measure each criterion with respect to every jobs.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Management Science and Engineering Management (ICMSEM 2014)
Subtitle of host publicationFocused on Intelligent System and Management Science
EditorsJ. Xu, V. A. Cruz-Machado, S. Nickel, B. Lev
PublisherSpringer-Verlag
Pages273-289
Number of pages17
Volume280
ISBN (Electronic)978-364255181-9
DOIs
Publication statusPublished - 2014
Event8th International Conference on Management Science and Engineering Management, ICMSEM 2014 - Lisbon, Portugal
Duration: 25 Jul 201427 Jul 2014

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Volume280
ISSN (Print)2194-5357

Conference

Conference8th International Conference on Management Science and Engineering Management, ICMSEM 2014
CountryPortugal
CityLisbon
Period25/07/1427/07/14

Keywords

  • Fuzzy logic
  • Human resources
  • Job evaluation
  • Multi criteria decision making
  • SIR

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  • Cite this

    Safari, H., Aghighi, M., Rabor, F. M., & Cruz-Machado, V. A. (2014). A new approach to job evaluation through fuzzy sir. In J. Xu, V. A. Cruz-Machado, S. Nickel, & B. Lev (Eds.), Proceedings of the 8th International Conference on Management Science and Engineering Management (ICMSEM 2014) : Focused on Intelligent System and Management Science (Vol. 280, pp. 273-289). (Advances in Intelligent Systems and Computing; Vol. 280). Springer-Verlag. https://doi.org/10.1007/978-3-642-55182-6_25