Abstract
Bu makalede personel seçimi için bulanık mantık temelli pratik bir model geliştirildi ve tanıtıldı. Model bulanık derecelendirme ve analitik hiyerarşi prosesi tekniklerini kullanarak geliştirildi. İş ile ilgili kriterlerin derecelendirilmesi için karşılaştırma matrisleri kullanıldı. Adaylar altı dereceli dilsel bulanık değişkenler kullanılarak her bir kriter için değerlendirildi ve her bir adayın toplam derecesi bulanık derecelendirme yöntemi ile belirlendi. Önerilen yöntemin uygulanabilmesi için bir bilgisayar programı geliştirildi
Keywords
References
- Butkiewicz, B.S.; 2002; Selection of staff for enterprise using fuzzy logic; IEEE SMC TA2N4.
- Chen, Y.H.; 1996; Fuzzy ratings in mechanical engineering design- application to bearing selection; Proc. Instn. Mech. Engrs.; 210; 49-53.
- Fayad, C., Webb, P.; 1999; Fuzzy logic based collision avoidance algorithm for a mobile robot; Workshop on Recent Advances in Soft Computing. Leicester.
- Ivancevich, J.M.; 2001; Human Resource Management; McGraw-Hill
- Liang, G.S., Wang, M.J.J.; 1994; Personnel selection using fuzzy MCDM algorithm; European Journal of Operational Research; 78; 22-33
- Robbins, S.P., Coulter, M.C.; 2002; Management; Prentice Hall.
- Saaty, T.L.; 1980; The Analytical Hierarchy Process; McGraw-Hill.
- Şen, Z.; 2001; Bulanık Mantık ve Modelleme İlkeleri; Bilge Kültür Sanat.
- Telman, N., Türetgen, İ.; 2004; Eleman Seçimi; Epsilon Yayıncılık.
- Triantaphyllou, E., Mann, S.H.; 1995; Using the analytic hierarchy process for decision making in engineering applications: Some challenges; International Journal of Industrial Engineering: Applications and Practice; 2; 35-44.
- Zadeh, L. A.; 1973; Outline of a new approach to the analysis of complex systems and decision processes; IEEE Trans. Systems, Man & Cybernetics; 1; 28-44.
Abstract
In this paper a fuzzy decision making model for personnel selection problem is presented. Fuzzy rating method and Analytic Hierarchy Process (AHP) are used to model and solve the problem. Relative importance of job related criteria are determined by pairwise comparisons, and candidates are evaluated with sixlevel linguistic variables with respect to each criterion, final ratings of each candidate are computed by using the fuzzy rating method. Computer software is also developed for the implementation of the proposed approach
Keywords
References
- Butkiewicz, B.S.; 2002; Selection of staff for enterprise using fuzzy logic; IEEE SMC TA2N4.
- Chen, Y.H.; 1996; Fuzzy ratings in mechanical engineering design- application to bearing selection; Proc. Instn. Mech. Engrs.; 210; 49-53.
- Fayad, C., Webb, P.; 1999; Fuzzy logic based collision avoidance algorithm for a mobile robot; Workshop on Recent Advances in Soft Computing. Leicester.
- Ivancevich, J.M.; 2001; Human Resource Management; McGraw-Hill
- Liang, G.S., Wang, M.J.J.; 1994; Personnel selection using fuzzy MCDM algorithm; European Journal of Operational Research; 78; 22-33
- Robbins, S.P., Coulter, M.C.; 2002; Management; Prentice Hall.
- Saaty, T.L.; 1980; The Analytical Hierarchy Process; McGraw-Hill.
- Şen, Z.; 2001; Bulanık Mantık ve Modelleme İlkeleri; Bilge Kültür Sanat.
- Telman, N., Türetgen, İ.; 2004; Eleman Seçimi; Epsilon Yayıncılık.
- Triantaphyllou, E., Mann, S.H.; 1995; Using the analytic hierarchy process for decision making in engineering applications: Some challenges; International Journal of Industrial Engineering: Applications and Practice; 2; 35-44.
- Zadeh, L. A.; 1973; Outline of a new approach to the analysis of complex systems and decision processes; IEEE Trans. Systems, Man & Cybernetics; 1; 28-44.
Details
| Other ID | JA93KC84TV |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | December 1, 2005 |
| Published in Issue | Year 2005 Volume: 2 Issue: 2 |