FUZZY ANALYTIC HIERARCHY PROCESS AND AN APPLICATION ON JOB SELECTION

Öz

Today job selection is one of the most important decision of every individual in their life. The presence of multiple and different weights of criteria that influence this decision and also evulation of possible alternatives under these circumstances, make hard to solve this problem. Fuzzy Analytic Hierarchy Process which is developed to overcome the diffuculties of classical multi criteria decision making methods  in reflecting the subjective prefences of individuals to evulations in group decision making, presented more effective solutions with expressing these choices by fuzzy numbers. The aim of this study is to investigate of effective factors in job selection and relations between alternatives. For this reason an investigation is conducted within the university students who will graduate from Dokuz Eylül University Faculty of Economics and Administrative Sciences Department of Econometrics within the following year. All the analyses are made via AHP and fuzzy AHP and results are compared.

Keywords: Analytic Hierarchy Process, Fuzzy Analytic Hierarchy Process, Job Selection.

BULANIK ANALİTİK HİYERARŞİ PROSESİ VE MESLEK SEÇİMİNDE UYGULANMASI

Öz

Günümüzde bireylerin hayatlarında vereceği en önemli kararlardan birisi meslek seçimidir. Kararı etkileyen birden çok ve farklı ağırlıkta kriterlerin mevcut olması ve olası alternatiflerin bu koşullar altında değerlendirilmesi problemin çözümünü zorlaştırmaktadır. Grup karar vermede, klasik çok kriterli karar verme metotlarının kişilerin öznel tercihlerini değerlendirmelere yansıtmadaki zorluklarını aşmak için geliştirilen Bulanık Analitik Hiyerarşi Prosesi, tercihleri bulanık sayılarla ifade ederek çok daha etkin çözümler sunmuştur. Bu çalışmanın amacı meslek seçiminde etkin olan faktörlerin belirlenmesi ve alternatiflerle olan ilişkilerinin ortaya konmasıdır. Bunun için Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Ekonometri Bölümü özelinde gelecek yıl mezun olacak öğrenciler ile bu çalışma gerçekleştirilmiştir. Tüm analizler AHP ve Bulanık AHP yöntemiyle yapılmış ve sonuçlar karşılaştırılmıştır.

Anahtar Kelimeler: Analitik Hiyerarşi Prosesi, Bulanık Analitik Hiyerarşi Prosesi, Meslek Seçimi.

Anahtar Kelimeler

• Analitik Hiyerarşi Prosesi, Bulanık Analitik Hiyerarşi

Kaynakça

1. Ahmadi, M., Helms, M. M. ve Nodoushani, P. (1995). A factor-analytic approach profiling job selection differences of male and female accountants. Managerial Auditing Journal, 10 (7): 17-24.
2. Alp, S. ve Gündoğdu, C. E. (2012). Kuruluş yeri seçiminde analitik hiyerarşi prosesi ve bulanık analitik hiyerarşi prosesi uygulaması. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 14 (1): 07-25.
3. Aycan, Z. ve Paşa, S. (2003). Career choices, job selection criteria, and leadership preferences in a transitional nation: the case of Turkey. Journal of Career Development, 30 (2): 129-144.
4. Bai, L. (1998). Monetary reward versus the national ideological agenda: career choice among Chinese University students. Journal Of Moral Education, 27 (4): 525-540.
5. Baykal, N. ve Beyan, T. (2004). Bulanık mantık ilke ve temelleri. Ankara: Bıçaklar Kitabevi.
6. Boswell, W. R., Roehling, M. V., LePine, M. A. ve Moynihan L. M. (2003). Individual job-choice decisions and the impact of job attributes and recruitment practices: a longitudinal field study. Human Resource Management, 42 (1): 23–37.
7. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17 (3): 233-247.
8. Bundy, P. ve Norris, D. (1992). What accounting students consider important in the job selection process. Journal of Applied Business Research, 8 (2): 1-6.

9. Carlsson, C. ve Fuller, R. (1996). Fuzzy multiple criteria decision making: recent developments. Fuzzy Sets and Systems, 78 (2): 139-153.
10. Chan, F. T. S. ve Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP based approach. Omega, 35 (4): 417-431.
11. Chan, S. Y. ve Ho, S. S. M. (2000). Desired attributes of public accounting firms in the job selection process: an empirical examination of accounting graduates' perceptions. Accounting Education, 9 (4): 315-327.
12. Chang, C. W., Wu, C. R. ve Lin, H. L. (2009). Applying fuzzy hierarchy multiple attributes to construct an expert decision making process. Expert Systems with Applications, 36 (4): 7363-7368.
13. Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95 (3): 649-655.
14. Counsell, D. (1996). Graduate careers in the UK: an examination of undergraduates’ perceptions. Career Development International, 1 (7): 44-51.
15. Eaton, T. V. ve Hunt, S. C. (2002). Job search and selection by academic accountants: new and relocating faculty. Journal of Accounting Education, 20 (2): 67-84.
16. Enea, M. ve Piazza, T. (2004). Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making, 3 (1): 39-62.
17. Göktolga, Z. G. ve Gökalp, B.(2012). İş seçimini etkileyen kriterlerin ve alternatiflerin AHP metodu ile belirlenmesi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13 (2): 71-86.
18. Grund, C. (2013) Job preferences as revealed by employee-initiated job changes. The International Journal of Human Resource Management, 24 (15): 2825-2850.
19. Kahraman, C. (2008). Fuzzy multi criteria decision making. New York: Springer
20. Kida, T. E. ve Mannino, R. C. (1980) Job selection criteria of accounting Ph. D. students and faculty members. Accounting Review, 55 (3): 491-5
21. Kılıç, H. S. ve Çevikcan, E. (2011). Job selection based on fuzzy AHP: an investigation including the students of Istanbul Technical University Management Faculty. International Journal Of Business And Management Studies, 3 (1): 173-182.
22. Laarhoven, P. J. M. ve Pedrycz, W. (1983). Fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11 (1-3): 229-241.
23. Lau, A. ve Pang, M. (1995). Undergraduates career perceptions and first job needs in Hong Kong. International Journal Of Career Management, 7 (3): 14-24.
24. Lim, H. E. ve Soon, J. J. (2006). Job selection criteria and job sector preference of economics student: an ordered logit model analysis. International Journal of Business and Society, 7 (1): 53-69.
25. Lootsma, F. A. (1999). Multi-criteria decision analysis via ratio and difference judgement. Netherlands: Kluwer Academic Publishers.
26. Meixner, O. (2009). Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. 10th International Symposium on the Analytic Hierarchy/Network Process, 29 Temmuz - 1 Ağustos 2009, Pittsburgh, USA.
27. Moy, J. W. ve Lee, S. M. (2002). The career choice of business graduates: smes or mncs?. Career Development International, 7 (6): 339-347.
28. Pekkaya, M. ve Çolak, N. (2013). Üniversite öğrencilerinin meslek seçimini etkileyen faktörlerin önem derecelerinin AHP ile belirlenmesi. International Journal Of Social Science, 6 (2): 797‐818.
29. Phillips, C. R., Phillips, A.S. ve Cappel, S. D. (1994). Research note: how management students select prospective employers. International Journal of Manpower, 15 (1): 55-59.
30. Salo, A. A. ve Hamalainen, R. P. (1995). Preference programming through approximate ratio comparisons. European Journal of Operational Research, 82 (3): 458-475.
31. Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
32. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1 (1): 83-98.
33. Wilkinson, S. (1996). The factors affecting the career choice of male and female civil engineering students in the UK. Career Development International. 1 (5): 45-50.
34. Wind, Y. ve Saaty, T. L. (1980). Marketing applications of the analytic hierarchy process. Management Science, 26 (7): 641-658.
35. Yaralıoğlu, K. (2009). Karar verme yöntemleri. Ankara: Detay Yayıncılık.
36. Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8 (3): 338-353.
37. Zhu, K., Shang, J. ve Yang, S. (2012). The triangular fuzzy AHP: fallacy of the popular extent analysis method. http://ssrn.com/abstract=2078576, (01.05.2014).