PERSONNEL SELECTION USING GROUP FUZZY AHP AND SAW METHODS

Journal Title: Journal of Engineering Management and Competitiveness (JEMC) - Year 2017, Vol 7, Issue 1

Abstract

Personnel evaluation and selection is a very important activity for the enterprises. Different job needs different ability and the requirement of criteria which can measure ability is different. It needs a suitable and flexible method to evaluate the performance of each candidate according to different requirements of different jobs in relation to each criterion. Analytic Hierarchy Process (AHP) is one of Multi Criteria decision making methods derived from paired comparisons. Simple Additive Weighting (SAW) is most frequently used multi attribute decision technique. The method is based on the weighted average. It successfully models the ambiguity and imprecision associated with the pair wise comparison process and reduces the personal biasness. This study tries to analyze the Analytic Hierarchy Process in order to make the recruitment process more reasonable, based on the fuzzy multiple criteria decision making model to achieve the goal of personnel selection. Finally, an example is implemented to demonstrate the practicability of the proposed method.

Authors and Affiliations

Ali Reza AFSHARI, Milan NIKOLIĆ, Zahra AKBARI

Keywords

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  • EP ID EP194553
  • DOI -
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How To Cite

Ali Reza AFSHARI, Milan NIKOLIĆ, Zahra AKBARI (2017). PERSONNEL SELECTION USING GROUP FUZZY AHP AND SAW METHODS. Journal of Engineering Management and Competitiveness (JEMC), 7(1), 3-10. https://europub.co.uk/articles/-A-194553