How to cite this paper
Bos, G & Chatterjee, N. (2016). Fuzzy hybrid MCDM approach for selection of wind turbine service technicians.Management Science Letters , 6(1), 1-18.
Refrences
Afshari, A., Mojahed, M., & Yusuff, R.M. (2010). Simple Additive Weighting approach to Personnel Selection problem, International Journal of Innovation, Management and Technology, 1(5), 511-515.
Agarwal, R. (2013). Selection of IT personnel through hybrid multi-attributes AHP-FLP approach. International Journal of Soft Computing and Engineering, 2(6), 11-17.
Bale?entis, A., Bale?entis, T., & Brauers, W. K. M. (2012). MultiMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173–190.
Blanco, M.I., & Rodrigues, G. (2009), Direct employment in the wind energy sector: An EU study,.Energy Policy, 37(8), 2847–2857.
Bobrow, W. (2003). Personnel Selection and Assessment. The California Psychologist, 14-15.
Chatterjee, N. C., & Bose, G. K. (2013). Selection of vendors for wind farm under fuzzy MCDM environment. International Journal of Industrial Engineering Computations, 4(4), 535 – 546.
Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
Chen, M. F., Tzeng, G. H., & Tang, T. I. (2005). Fuzzy MCDM approach for evaluation of expatriate assignments. International Journal of Information Technology & Decision Making, 4(02), 277-296.
Chen, C. T., Pai, P. F., & Hung, W. Z. (2011). Applying and Knowledge Map in Personnel Selection. Asia Pacific Management Review, 16(4), 491-502.
Dadelo, S., Turskis, Z., Zavadskas, E., & Dadeliene, R. (2012). Multiple Criteria Assessment of Elite Security Personal on the Basis of ARAS and Expert Methods. Economic Computation & Economic Cybernetics Studies & Research, 46(4), 65-88.
Datta, S., Beriha, G. S., Patnaik, B., & Mahapatra, S. S. (2009). Use of compromise ranking method for supervisor selection: A multi-criteria decision making (MCDM) approach. International Journal of Vocational and Technical Education, 1(1), 7-13.
Ding, J. F. (2012). Using fuzzy MCDM model to select middle managers for global shipping carrier-based logistics service pProviders. WSEAS Transactions On Systems, 3(11), 85-94.
Dursun, M., & Karsak, E. E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37, 4324–4330.
El-Santawy, M. F. (2012). A VIKOR method for solving personnel training selection problem. International Journal of Computing Science, 1(2), 9-12.
Gibney, R., & Shang, J. (2007). Decision making in academia: A case of the dean selection process. Mathematical and Computer Modeling, 46(7-8), 1030–1040.
Güng?r, Z., Serhadl?o?lu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem, Applied Soft Computing, 9, 641–646.
Haghighi, M., Zowghi, M., & Ansari, M. (2012). A fuzzy multiple attribute decision making (MADM) approach for employee evaluation and selection process. American Journal of Scientific Research, 58, 75-84.
Hamilton, J., & Liming, D. (2010). Careers in wind energy. U.S. Bureau of Labor Statistics, 1-18.
Karsak, E. E. (2001). Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Lecture Notes in Economics and Mathematical Systems, 507, 393–402.
Kelemenis, A.M., & Askounis, D. Th. (2009). An extension of fuzzy TOPSIS for personnel selection, In Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics San Antonio, 4704-4709.
Kelemenis, A, Ergazakis, K., & Askounis, D. (2011), Support managers’ selection using an extension of fuzzy TOPSIS, Expert Systems with Applications, 38(3), 2774–2782.
Ker?ulien?. V., & Turskis, Z. (2011), Integrated fuzzy multiple criteria decision making model for architect selection, Technological and Economic Development of Economy, 17(4), 645-666.
Liang, J., & Pang, J. (2012). Evaluation of the results of multi-attribute group decision-making with linguistic information, Omega, 40, 294–301.
Liang, G. S., & Wang, M. J. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22–33.
Pramanik, S., & Mukhopadhyaya, D. (2011). Grey Relational Analysis based Intuitionistic Fuzzy Multi-criteria Group Decision-making Approach for Teacher Selection in Higher Education. International Journal of Computer Applications, 34(10), 21-29.
Ramadan, M. Z. (2009). Effective staff selection tool: Fuzzy numbers and memetic algorithm based approach. International Journal of Engineering & Technology, 9(10), 54-65.
Robertson, I. T., & Smith, B. (2001). Personnel selection. Journal of Occupational and Organizational Psychology, 74, 441–472.
Rouyendegh, B.D., & Erkan, T.E., (2013). An Application of the Fuzzy ELECTRE method for academic staff selection. Human Factors and Ergonomics in Manufacturing & Service Industries, 23(2), 107–115.
Turskis, Z., & Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport, 25(4), 423–432.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zavadskas, E.K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of Construction Project Managers by Applying COPRAS-G Method, In The 8th International Conference of Reliability and Statistics in Transportation and Communication – 2008, 344-350.
Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16(2), 159–172.
Agarwal, R. (2013). Selection of IT personnel through hybrid multi-attributes AHP-FLP approach. International Journal of Soft Computing and Engineering, 2(6), 11-17.
Bale?entis, A., Bale?entis, T., & Brauers, W. K. M. (2012). MultiMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173–190.
Blanco, M.I., & Rodrigues, G. (2009), Direct employment in the wind energy sector: An EU study,.Energy Policy, 37(8), 2847–2857.
Bobrow, W. (2003). Personnel Selection and Assessment. The California Psychologist, 14-15.
Chatterjee, N. C., & Bose, G. K. (2013). Selection of vendors for wind farm under fuzzy MCDM environment. International Journal of Industrial Engineering Computations, 4(4), 535 – 546.
Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
Chen, M. F., Tzeng, G. H., & Tang, T. I. (2005). Fuzzy MCDM approach for evaluation of expatriate assignments. International Journal of Information Technology & Decision Making, 4(02), 277-296.
Chen, C. T., Pai, P. F., & Hung, W. Z. (2011). Applying and Knowledge Map in Personnel Selection. Asia Pacific Management Review, 16(4), 491-502.
Dadelo, S., Turskis, Z., Zavadskas, E., & Dadeliene, R. (2012). Multiple Criteria Assessment of Elite Security Personal on the Basis of ARAS and Expert Methods. Economic Computation & Economic Cybernetics Studies & Research, 46(4), 65-88.
Datta, S., Beriha, G. S., Patnaik, B., & Mahapatra, S. S. (2009). Use of compromise ranking method for supervisor selection: A multi-criteria decision making (MCDM) approach. International Journal of Vocational and Technical Education, 1(1), 7-13.
Ding, J. F. (2012). Using fuzzy MCDM model to select middle managers for global shipping carrier-based logistics service pProviders. WSEAS Transactions On Systems, 3(11), 85-94.
Dursun, M., & Karsak, E. E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37, 4324–4330.
El-Santawy, M. F. (2012). A VIKOR method for solving personnel training selection problem. International Journal of Computing Science, 1(2), 9-12.
Gibney, R., & Shang, J. (2007). Decision making in academia: A case of the dean selection process. Mathematical and Computer Modeling, 46(7-8), 1030–1040.
Güng?r, Z., Serhadl?o?lu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem, Applied Soft Computing, 9, 641–646.
Haghighi, M., Zowghi, M., & Ansari, M. (2012). A fuzzy multiple attribute decision making (MADM) approach for employee evaluation and selection process. American Journal of Scientific Research, 58, 75-84.
Hamilton, J., & Liming, D. (2010). Careers in wind energy. U.S. Bureau of Labor Statistics, 1-18.
Karsak, E. E. (2001). Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Lecture Notes in Economics and Mathematical Systems, 507, 393–402.
Kelemenis, A.M., & Askounis, D. Th. (2009). An extension of fuzzy TOPSIS for personnel selection, In Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics San Antonio, 4704-4709.
Kelemenis, A, Ergazakis, K., & Askounis, D. (2011), Support managers’ selection using an extension of fuzzy TOPSIS, Expert Systems with Applications, 38(3), 2774–2782.
Ker?ulien?. V., & Turskis, Z. (2011), Integrated fuzzy multiple criteria decision making model for architect selection, Technological and Economic Development of Economy, 17(4), 645-666.
Liang, J., & Pang, J. (2012). Evaluation of the results of multi-attribute group decision-making with linguistic information, Omega, 40, 294–301.
Liang, G. S., & Wang, M. J. J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22–33.
Pramanik, S., & Mukhopadhyaya, D. (2011). Grey Relational Analysis based Intuitionistic Fuzzy Multi-criteria Group Decision-making Approach for Teacher Selection in Higher Education. International Journal of Computer Applications, 34(10), 21-29.
Ramadan, M. Z. (2009). Effective staff selection tool: Fuzzy numbers and memetic algorithm based approach. International Journal of Engineering & Technology, 9(10), 54-65.
Robertson, I. T., & Smith, B. (2001). Personnel selection. Journal of Occupational and Organizational Psychology, 74, 441–472.
Rouyendegh, B.D., & Erkan, T.E., (2013). An Application of the Fuzzy ELECTRE method for academic staff selection. Human Factors and Ergonomics in Manufacturing & Service Industries, 23(2), 107–115.
Turskis, Z., & Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport, 25(4), 423–432.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zavadskas, E.K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of Construction Project Managers by Applying COPRAS-G Method, In The 8th International Conference of Reliability and Statistics in Transportation and Communication – 2008, 344-350.
Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16(2), 159–172.