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Personnel Selection By Using Fuzzy Hybrid Multi Criteria Decision Making Methodology

Year 2020, Volume: 8 Issue: 3, 953 - 962, 15.06.2020
https://doi.org/10.18506/anemon.645838

Abstract

Personnel selection problem is a multi criteria decision-making problem which is very important for businesses and includes multiple evaluation criteria and uncertainty. In this study, fuzzy TOPSIS, Fuzzy Gray relational analysis (GRA), Fuzzy WASPAS and Fuzzy Aras methods are proposed. The criterion weights of the personnel selection problem are determined by using fuzzy SWARA method and group hierarchy is also evaluated. In order to demonstrate the applicability and results of the proposed methodology, the proposed methodology has been applied to the process of selecting a warehouse supervisor for a business is in the production sector.

References

  • Adıgüzel, O. (2009). Personel Seçiminin Analitik Hiyerarşisi Prosesi Yöntemiyle Gerçekleştirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (24).
  • Akar, G. S., & Çakır, E. (2016). Lojistik Sektöründe Bütünleştirilmiş Bulanık Ahp-Moora Yaklaşımı İle Personel Seçimi. Yönetim Ve Ekonomi Araştırmaları Dergisi, 14(2), 185-199.
  • Awasthi A., Chauhan S.S., & Goyal S. K. (2011). A multi criteria decision making approach for location planning for urban distribution centers under certainty. Mathematical Computer Modelling, 53(1-2), 98-109.
  • Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9), 7961-7967.
  • Celik, M., Cebi, S., Kahraman, C., & Er, I. D. (2009). Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network. Expert Systems with Applications, 36(3), 4541-4557.
  • Dağdeviren, M. (2007). Bulanik analitik hiyerarşi prosesi ile personel seçimi ve bir uygulama. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(4).
  • Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), 8143-8151.
  • Dağdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21(4), 451-460.
  • Değermenci, A., & Ayvaz, B. (2016). Bulanık ortamda TOPSIS yöntemi ile personel seçimi: katılım bankacılığı sektöründe bir uygulama. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 15(30), 77-93.
  • Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21(3), 215-231.
  • Doğan, A., & Önder, E. (2014). İnsan Kaynaklari Temin Ve Seçiminde Çok Kriterli Karar Verme Tekniklerinin Kullanilmasi Ve Bir Uygulama (Using Multi Criteria Decision Techniques in Recruiting and Selection of Human Resources and an Application). Journal of Yasar University, 9(34), 5796-5819.
  • Dong, J.L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
  • Efe, B., & Kurt, M. (2018). Bir Liman İşletmesinde Personel Seçimi Uygulaması. Karaelmas Science and Engineering Journal, 8(2), 417-427.
  • Efe, B., & Kurt, M. (2018). A systematic approach for an application of personnel selection in assembly line balancing problem. International Transactions in Operational Research, 25(3), 1001-1025.
  • Fenton, N., & Wang, W. (2006). Risk and confidence analysis for fuzzy multicriteria decision making. Knowledge-Based Systems, 19(6), 430-437.
  • Güngör, Z., Serhadlıoğlu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9(2), 641-646.
  • Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. New York: Springer-Verlag.
  • Ilgaz, A. (2018). Lojistik Sektöründe Personel Seçim Kriterlerinin Ahp Ve Topsis Yöntemleri İle Değerlendirilmesi. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1(32), 586-605.
  • İçigen, E. T., & Çetin, E. İ. (2017). AHP temelli TOPSIS yöntemi ile konaklama işletmelerinde personel seçimi. Balkan Sosyal Bilimler Dergisi, 7(13), 179-187.
  • Kabak, M., & Kazançoğlu, Y. (2012). Bulanık Analitik Hiyerarşi Yöntemiyle Öğretmen Seçimi Ve Bir Uygulama. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(1), 95-111.
  • Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87(2), 171-184.
  • Karabasevic, D., Zavadskas, E. K., Turskis, Z., & Stanujkic, D. (2016). The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica, 27(1), 49-65.
  • Karabasevic, D., Zavadskas, E. K., Stanujkic, D., Popovic, G., & Brzakovic, M. (2018). An Approach To Personnel Selectıon In The It Industry Based On The Edas Method. Transformations In Business & Economics, 17(2).
  • Kaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic. New York: VanNostrand Reinhold Company.
  • Kenger, M. D., & Organ, A. (2017). Banka personel seçiminin çok kriterli karar verme yöntemlerinden entropi temelli aras yöntemi ile değerlendirilmesi. Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 4(4), 152-170.
  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.
  • Koyuncu, O., & Özcan, M. (2014). Personel seçim sürecinde analitik hiyerarşi süreci ve TOPSIS yöntemlerinin karşılaştırılması: Otomotiv sektöründe bir uygulama. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(2), 195-218.
  • Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
  • Kuo, M. S., & Liang, G. S. (2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications, 38(3), 1304-1312.
  • Lashgari, S., Antuchevičienė, J., Delavari, A. & Kheirkhah, O. (2014). Using QSPM and WASPAS methods for determining outsourcing strategies. Journal of Business Economics and Management, 15(4): 729-743.
  • Li, N., & Zhao, H. (2016). Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. Journal of Cleaner Production, 135, 169-183.
  • Lin, C. L., Lin, J. L., & Ko, T. C. (2002). Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. The International Journal of Advanced Manufacturing Technology, 19(4), 271-277.
  • Lin, H. T. (2010). Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Computers & Industrial Engineering, 59(4), 937-944.
  • Liu, J., Guo, L., Jiang, J., Hao, L., Liu, R., & Wang, P. (2015). Evaluation and selection of emergency treatment technology based on dynamic fuzzy GRA method for chemical contingency spills. Journal of Hazardous Materials, 299, 306-315.
  • Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418.
  • Merigó, J. M., & Casanovas, M. (2011). Induced and uncertain heavy OWA operators. Computers & Industrial Engineering, 60(1), 106-116.
  • Ömürbek, V., Aksoy, E., & Akçakanat, Ö. (2017). Bankaların Sürdürülebilirlik Performanslarının Aras, Moosra Ve Copras Yöntemleri İle Değerlendirilmesi. Visionary E-Journal/Vizyoner Dergisi, 8(19).
  • Özder, E. H., Bedir, N., & Eren, T. (2019). Researcher Selection Problem in Higher Education by Using Multi Criteria Decision Making: A Case Study/Yükseköğretimde Araştırmacı Seçiminde Çok Ölçütlü Karar Verme Yöntemlerinin Kullanılması: Bir Örnek Uygulama. Alanya Akademik Bakış Dergisi, 3(1), 19.
  • Samanlioglu, F., Taskaya, Y. E., Gulen, U. C., & Cokcan, O. (2018). A fuzzy AHP–TOPSIS-based group decision-making approach to IT personnel selection. International Journal of Fuzzy Systems, 20(5), 1576-1591.
  • Sang, X., Liu, X., & Qin, J. (2015). An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise. Applied Soft Computing, 30, 190-204.
  • Senger, Ö., & Albayrak, Ö. K. (2016). Gri İlişki Analizi Yöntemi İle Personel Değerlendirme Üzerine Bir Çalışma. International Journal of Economic & Administrative Studies, (17).
  • Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745-7754.
  • Tepe, S., & Görener, A. (2014). Analitik hiyerarşi süreci ve moora yöntemlerinin personel Seçiminde Uygulanması. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 13(25), 1-14.
  • 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.
  • Turskis, Z., Zavadskas, E. K., Antucheviciene, J., & Kosareva, N. (2015). A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection. International Journal of Computers Communications & Control, 10(6), 113-128.
  • Turskis, Z., Ker Ulıenė, V., & Vinogradova, I. (2017). A New Fuzzy Hybrıd Multı-Crıterıa Decısıon-Makıng Approach To Solve Personnel Assessment Problems. Case Study: Dırector Selectıon For Estates And Economy Offıce. Economic Computation & Economic Cybernetics Studies & Research, 51(3).
  • Ulutaş, A., Özkan, A. M., & Tağraf, H. (2018). Bulanık Analitik Hiyerarşi Süreci Ve Bulanık Gri İlişkisel Analizi Yöntemleri Kullanılarak Personel Seçimi Yapılması. Elektronik Sosyal Bilimler Dergisi, 17(65), 223-232.
  • Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach To Personnel Selectıon In The Tourısm Industry Based On The Swara And The Waspas Methods. Economic Computation & Economic Cybernetics Studies & Research, 51(1).
  • Ünal, Ö. F. (2011). Analitik Hiyerarşi Prosesi Ve Personel Seçimi Alanında Uygulamaları. Journal of Alanya Faculty of Business/Alanya İsletme Fakültesi Dergisi, 3(2).
  • Wang, P., Meng, P., Zhai, J. Y., & Zhu, Z. Q. (2013). A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems. Knowledge-Based Systems, 53, 100-107.
  • Yildiz, A., & Deveci, M. (2013). Bulanik VIKOR Yöntemine Dayali Personel Seçim Süreci/Based on Fuzzy VIKOR Approach to Personnel Selection Process. Ege Akademik Bakis, 13(4), 427. 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.
  • Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141.
  • Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.
  • Zavadskas, E.K., Antucheviciene, J., Šaparauskas, J. & Zenonas Turskis, Z. (2013). Multicriteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57: 107 – 112.
  • Zavadskas, E.K., Baušys, R. & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of awaste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7: 15923–15936
  • Zhang, S. F., & Liu, S. Y. (2011). A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 38(9), 11401-11405.
  • Zolfani, S. H., Rezaeiniya, N., Aghdaie, M. H., & Zavadskas, E. K. (2012). Quality control manager selection based on AHP-COPRAS-G methods: a case in Iran. Economic Research-Ekonomska Istraživanja, 25(1), 72-86.

Bulanık Hibrit Çok Kriterli Karar Verme Metodolojisi Kullanılarak Personel Seçimi Yapılması

Year 2020, Volume: 8 Issue: 3, 953 - 962, 15.06.2020
https://doi.org/10.18506/anemon.645838

Abstract

Personel seçim problemi işletmeler için oldukça önemli ve içerisinde birden fazla değerlendirme kriterini barındıran ve belirsizliğin olduğu çok kriterli karar verme problemidir. Çalışmada, Bulanık TOPSİS, Bulanık Gri ilişkisel analiz, Bulanık Waspas, Bulanık Aras yöntemleri kullanılarak çözüm amaçlı bir yaklaşım önerilmiştir. Personel seçiminde kullanılacak kriterlerin ağırlıkları bulanık SWARA yöntemiyle belirlenirken grup hiyerarşisi de değerlendirilmiştir. Önerilen yaklaşımın uygulanabilirliğini ve sonuçlarını göstermek için, üretim sektöründe faaliyet gösteren bir işletmenin depo sorumlusu seçme sürecine önerilen yaklaşım uygulanmıştır.

References

  • Adıgüzel, O. (2009). Personel Seçiminin Analitik Hiyerarşisi Prosesi Yöntemiyle Gerçekleştirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (24).
  • Akar, G. S., & Çakır, E. (2016). Lojistik Sektöründe Bütünleştirilmiş Bulanık Ahp-Moora Yaklaşımı İle Personel Seçimi. Yönetim Ve Ekonomi Araştırmaları Dergisi, 14(2), 185-199.
  • Awasthi A., Chauhan S.S., & Goyal S. K. (2011). A multi criteria decision making approach for location planning for urban distribution centers under certainty. Mathematical Computer Modelling, 53(1-2), 98-109.
  • Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9), 7961-7967.
  • Celik, M., Cebi, S., Kahraman, C., & Er, I. D. (2009). Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network. Expert Systems with Applications, 36(3), 4541-4557.
  • Dağdeviren, M. (2007). Bulanik analitik hiyerarşi prosesi ile personel seçimi ve bir uygulama. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(4).
  • Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), 8143-8151.
  • Dağdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21(4), 451-460.
  • Değermenci, A., & Ayvaz, B. (2016). Bulanık ortamda TOPSIS yöntemi ile personel seçimi: katılım bankacılığı sektöründe bir uygulama. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 15(30), 77-93.
  • Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21(3), 215-231.
  • Doğan, A., & Önder, E. (2014). İnsan Kaynaklari Temin Ve Seçiminde Çok Kriterli Karar Verme Tekniklerinin Kullanilmasi Ve Bir Uygulama (Using Multi Criteria Decision Techniques in Recruiting and Selection of Human Resources and an Application). Journal of Yasar University, 9(34), 5796-5819.
  • Dong, J.L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
  • Efe, B., & Kurt, M. (2018). Bir Liman İşletmesinde Personel Seçimi Uygulaması. Karaelmas Science and Engineering Journal, 8(2), 417-427.
  • Efe, B., & Kurt, M. (2018). A systematic approach for an application of personnel selection in assembly line balancing problem. International Transactions in Operational Research, 25(3), 1001-1025.
  • Fenton, N., & Wang, W. (2006). Risk and confidence analysis for fuzzy multicriteria decision making. Knowledge-Based Systems, 19(6), 430-437.
  • Güngör, Z., Serhadlıoğlu, G., & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9(2), 641-646.
  • Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. New York: Springer-Verlag.
  • Ilgaz, A. (2018). Lojistik Sektöründe Personel Seçim Kriterlerinin Ahp Ve Topsis Yöntemleri İle Değerlendirilmesi. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1(32), 586-605.
  • İçigen, E. T., & Çetin, E. İ. (2017). AHP temelli TOPSIS yöntemi ile konaklama işletmelerinde personel seçimi. Balkan Sosyal Bilimler Dergisi, 7(13), 179-187.
  • Kabak, M., & Kazançoğlu, Y. (2012). Bulanık Analitik Hiyerarşi Yöntemiyle Öğretmen Seçimi Ve Bir Uygulama. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(1), 95-111.
  • Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87(2), 171-184.
  • Karabasevic, D., Zavadskas, E. K., Turskis, Z., & Stanujkic, D. (2016). The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica, 27(1), 49-65.
  • Karabasevic, D., Zavadskas, E. K., Stanujkic, D., Popovic, G., & Brzakovic, M. (2018). An Approach To Personnel Selectıon In The It Industry Based On The Edas Method. Transformations In Business & Economics, 17(2).
  • Kaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic. New York: VanNostrand Reinhold Company.
  • Kenger, M. D., & Organ, A. (2017). Banka personel seçiminin çok kriterli karar verme yöntemlerinden entropi temelli aras yöntemi ile değerlendirilmesi. Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 4(4), 152-170.
  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.
  • Koyuncu, O., & Özcan, M. (2014). Personel seçim sürecinde analitik hiyerarşi süreci ve TOPSIS yöntemlerinin karşılaştırılması: Otomotiv sektöründe bir uygulama. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(2), 195-218.
  • Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
  • Kuo, M. S., & Liang, G. S. (2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications, 38(3), 1304-1312.
  • Lashgari, S., Antuchevičienė, J., Delavari, A. & Kheirkhah, O. (2014). Using QSPM and WASPAS methods for determining outsourcing strategies. Journal of Business Economics and Management, 15(4): 729-743.
  • Li, N., & Zhao, H. (2016). Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. Journal of Cleaner Production, 135, 169-183.
  • Lin, C. L., Lin, J. L., & Ko, T. C. (2002). Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. The International Journal of Advanced Manufacturing Technology, 19(4), 271-277.
  • Lin, H. T. (2010). Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Computers & Industrial Engineering, 59(4), 937-944.
  • Liu, J., Guo, L., Jiang, J., Hao, L., Liu, R., & Wang, P. (2015). Evaluation and selection of emergency treatment technology based on dynamic fuzzy GRA method for chemical contingency spills. Journal of Hazardous Materials, 299, 306-315.
  • Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418.
  • Merigó, J. M., & Casanovas, M. (2011). Induced and uncertain heavy OWA operators. Computers & Industrial Engineering, 60(1), 106-116.
  • Ömürbek, V., Aksoy, E., & Akçakanat, Ö. (2017). Bankaların Sürdürülebilirlik Performanslarının Aras, Moosra Ve Copras Yöntemleri İle Değerlendirilmesi. Visionary E-Journal/Vizyoner Dergisi, 8(19).
  • Özder, E. H., Bedir, N., & Eren, T. (2019). Researcher Selection Problem in Higher Education by Using Multi Criteria Decision Making: A Case Study/Yükseköğretimde Araştırmacı Seçiminde Çok Ölçütlü Karar Verme Yöntemlerinin Kullanılması: Bir Örnek Uygulama. Alanya Akademik Bakış Dergisi, 3(1), 19.
  • Samanlioglu, F., Taskaya, Y. E., Gulen, U. C., & Cokcan, O. (2018). A fuzzy AHP–TOPSIS-based group decision-making approach to IT personnel selection. International Journal of Fuzzy Systems, 20(5), 1576-1591.
  • Sang, X., Liu, X., & Qin, J. (2015). An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise. Applied Soft Computing, 30, 190-204.
  • Senger, Ö., & Albayrak, Ö. K. (2016). Gri İlişki Analizi Yöntemi İle Personel Değerlendirme Üzerine Bir Çalışma. International Journal of Economic & Administrative Studies, (17).
  • Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745-7754.
  • Tepe, S., & Görener, A. (2014). Analitik hiyerarşi süreci ve moora yöntemlerinin personel Seçiminde Uygulanması. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 13(25), 1-14.
  • 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.
  • Turskis, Z., Zavadskas, E. K., Antucheviciene, J., & Kosareva, N. (2015). A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection. International Journal of Computers Communications & Control, 10(6), 113-128.
  • Turskis, Z., Ker Ulıenė, V., & Vinogradova, I. (2017). A New Fuzzy Hybrıd Multı-Crıterıa Decısıon-Makıng Approach To Solve Personnel Assessment Problems. Case Study: Dırector Selectıon For Estates And Economy Offıce. Economic Computation & Economic Cybernetics Studies & Research, 51(3).
  • Ulutaş, A., Özkan, A. M., & Tağraf, H. (2018). Bulanık Analitik Hiyerarşi Süreci Ve Bulanık Gri İlişkisel Analizi Yöntemleri Kullanılarak Personel Seçimi Yapılması. Elektronik Sosyal Bilimler Dergisi, 17(65), 223-232.
  • Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach To Personnel Selectıon In The Tourısm Industry Based On The Swara And The Waspas Methods. Economic Computation & Economic Cybernetics Studies & Research, 51(1).
  • Ünal, Ö. F. (2011). Analitik Hiyerarşi Prosesi Ve Personel Seçimi Alanında Uygulamaları. Journal of Alanya Faculty of Business/Alanya İsletme Fakültesi Dergisi, 3(2).
  • Wang, P., Meng, P., Zhai, J. Y., & Zhu, Z. Q. (2013). A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems. Knowledge-Based Systems, 53, 100-107.
  • Yildiz, A., & Deveci, M. (2013). Bulanik VIKOR Yöntemine Dayali Personel Seçim Süreci/Based on Fuzzy VIKOR Approach to Personnel Selection Process. Ege Akademik Bakis, 13(4), 427. 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.
  • Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141.
  • Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.
  • Zavadskas, E.K., Antucheviciene, J., Šaparauskas, J. & Zenonas Turskis, Z. (2013). Multicriteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57: 107 – 112.
  • Zavadskas, E.K., Baušys, R. & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of awaste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7: 15923–15936
  • Zhang, S. F., & Liu, S. Y. (2011). A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 38(9), 11401-11405.
  • Zolfani, S. H., Rezaeiniya, N., Aghdaie, M. H., & Zavadskas, E. K. (2012). Quality control manager selection based on AHP-COPRAS-G methods: a case in Iran. Economic Research-Ekonomska Istraživanja, 25(1), 72-86.
There are 57 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Fatma Selen Madenoğlu 0000-0002-5577-4471

Publication Date June 15, 2020
Acceptance Date March 18, 2020
Published in Issue Year 2020 Volume: 8 Issue: 3

Cite

APA Madenoğlu, F. S. (2020). Personnel Selection By Using Fuzzy Hybrid Multi Criteria Decision Making Methodology. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8(3), 953-962. https://doi.org/10.18506/anemon.645838

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