article

A fuzzy AHP approach to personnel selection problem

Authors:

Zülal Güngör,

Gürkan Serhadlıoğlu,

Saadettin Erhan KesenAuthors Info & Claims

Applied Soft Computing, Volume 9, Issue 2

Pages 641 - 646

https://doi.org/10.1016/j.asoc.2008.09.003

Published: 01 March 2009 Publication History

Abstract

Due to the increasing competition of globalization and fast technological improvements, world markets demand companies to have quality and professional human resources. This can only be achieved by employing potentially adequate personnel. In this paper, we proposed a personnel selection system based on Fuzzy Analytic Hierarchy Process (FAHP). The FAHP is applied to evaluate the best adequate personnel dealing with the rating of both qualitative and quantitative criteria. The result obtained by FAHP is compared with results produced by Yager's weighted goals method. In addition to above-mentioned methods, a practical computer-based decision support system is introduced to provide more information and help manager make better decisions under fuzzy circumstances.

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A fuzzy AHP approach to personnel selection problem

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Published In

cover image Applied Soft Computing

Applied Soft Computing Volume 9, Issue 2

March, 2009

407 pages

ISSN:1568-4946

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2008.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 March 2009

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Cited By

Pandey P(2023)Empowering Hindu Women by Way of Smart MarriagesWireless Personal Communications: An International Journal10.1007/s11277-023-10805-6133:2(1081-1103)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1007/s11277-023-10805-6
Pandey PLitoriya R(2021)Software process selection system based on multicriteria decision makingJournal of Software: Evolution and Process10.1002/smr.230533:2Online publication date: 14-Feb-2021
https://dl.acm.org/doi/10.1002/smr.2305
Akbar MMahmood SShafiq MAlsanad AAlsanad AGumaei A(2020)RETRACTED ARTICLE: Identification and prioritization of DevOps success factors using fuzzy-AHP approachSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-020-05150-w27:4(1907-1931)Online publication date: 6-Jul-2020
https://dl.acm.org/doi/10.1007/s00500-020-05150-w
Alguliyev RAliguliyev RYusifov F(2020)Modified fuzzy TOPSIS + TFNs ranking model for candidate selection using the qualifying criteriaSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04521-224:1(681-695)Online publication date: 1-Jan-2020
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Mhlanga SLall MOjo S(2020)A Fuzzy AHP and TOPSIS Approach for Web Service SelectionServices – SERVICES 202010.1007/978-3-030-59595-1_9(101-111)Online publication date: 22-Jun-2020
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Mei JLe XZhang XWang C(2019)A Learning-Based Approach for Perceptual Models of PreferenceAdvances in Neural Networks – ISNN 201910.1007/978-3-030-22796-8_35(328-339)Online publication date: 10-Jul-2019
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Entani T(2018)Two Approximation Models of Fuzzy Weight Vector from a Comparison MatrixAdvances in Fuzzy Systems10.1155/2018/19757682018Online publication date: 1-Jan-2018
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Nguyen JSánchez-Hernández GAgell NArmisen ARovira XAngulo C(2017)Evaluating student-internship fit using fuzzy linguistic terms and a fuzzy OWA operator2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2017.8015646(1-5)Online publication date: 9-Jul-2017
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