PERSONNEL SELECTION UTILIZING THE DECISION MAKING MECHANISM CREATED WITH THE INTUITIONISTIC FUZZY TOPSIS METHOD

Year 2022, Volume: 8 Issue: 2, 16 - 21, 30.12.2022

Feride Tuğrul

https://doi.org/10.22531/muglajsci.1158599

Cited By: 1

Abstract

In this study, a decision making mechanism for personnel selection was created by using the intuitionistic fuzzy based TOPSIS method, which is one of the multi-criteria decision making methods. According to the criteria determined by the decision makers, each candidate was evaluated individually by the decision makers and the most suitable personnel were selected. During the evaluation, the decision makers expressed their views through linguistic terms. Thanks to the intuitionistic fuzzy sets, situations where decision makers are undecided have become meaningful. This decision making mechanism prepared for personnel selection may be utilized by any company that will select personnel and the criteria may be changed in accordance with the purpose of the company. This study, which will attract the attention of many researchers in the field of decision making, will shed light on demanded application areas.

Keywords

Intuitionistic fuzzy sets, multi criteria decision making, TOPSIS Method, personnel selection.

References

• Zadeh, LA., “Information and Control”, Fuzzy Sets, 8(3), pp.338-353, 1965.
• Atanassov, KT., “Intuitionistic fuzzy sets”, VII ITKR's Session, Sofia, June 1983 (Deposed in Central Sci. - Techn. Library of Bulg. Acad. of Sci., 1697/84) (in Bulg.). Reprinted: Int. J. Bioautomation, 20(S1), pp.1-6 2016.
• Çuvalcıoğlu, G., “Some Properties of Controlled Set Theory”, Notes on Intuitionistic Fuzzy Sets, 20(2), pp.37-42, 2014.
• Çuvalcıoğlu, G., Yılmaz, S. and Atanassov, KT., “Matrix Representation Of The Second Type Of Intuitionistic Fuzzy Modal Operators”, Notes on Intuitionistic Fuzzy Sets, 20(5), pp.9-16, 2014.
• Kutlu, F., Tuğrul, F. and Çitil, M., “Introduction to Temporal Intuitionistic Fuzzy Approximate Reasoning”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., 69(1), pp.232-251, 2020a.
• Kutlu, F., Atan, Ö. and Silahtar, O., “Intuitionistic Fuzzy Adaptive Sliding Mode Control Of Nonlinear Systems”, Soft Computing, 24(1), pp.53-64, 2020b.
• Kutlu, F. and Tunçdemir, K., “Temporal Intuitionistic Fuzzy Metric Spaces”, Maejo International Journal of Science and Technology, 15(3):209-221 2021.
• Sözeyatarlar, M., Şahin, M. and Yavuz, E. “Statistical Relations Measures”, Journal of Universal Mathematics, 4(2), pp.283-295, 2021.
• Tuğrul, F., Yılmaz, B. and Çitil, M., “Application of Ranking with Similarity Measure in Multi Criteria Decision Making”, Konuralp Journal of Mathematics 7(2), pp.438-441, 2019.
• Yavuz, E. and Şahin, M., “Semiparametric Regression Models and Applicability in Agriculture”, Black Sea Journal of Agriculture, 5(2), pp.160-166, 2022.
• Toylan, H., “Design And Application Of Solar Tracking System Using Optimized Fuzzy Logic Controller By Genetic Algorithm”, Mugla Journal of Science and Technology , 6 (1), pp.136-145, 2020.
• Boran, FE., Genç, S., Kurt, M. and Akay, D., “A Multi-Criteria Intuitionistic Fuzzy Group Decision Making For Supplier Selection With TOPSIS Method”, Expert Systems with Applications, 36(8), pp.11363-11368, 2009.
• Boran, FE., Boran, K. and Menlik, T., “The Evaluation of Renewable Energy Technologies For Electricity Generation in Turkey Using Intuitionistic Fuzzy TOPSIS”, Energy Sources, Part B: Economics, Planning, and Policy, 7(1), pp.81-90, 2012.
• Efe, B., Boran, FE. and Kurt, M., “Ergonomic Product Concept Selection Using Intuitionistic Fuzzy TOPSIS”, Suleyman Demirel University Journal of Engineering Sciences and Design, 3(3), pp.433-440, 2015.
• Rouyendegh, BD., “The DEA And Intuitionistic Fuzzy TOPSIS Approach To Departments' Performances: A Pilot Study”, Journal of Applied Mathematics, 2011.
• Rouyendegh, BD. and Saputro, TE, “Supplier Selection Using Integrated Fuzzy TOPSIS And MCGP: A Case Study”, Procedia-Social and Behavioral Sciences, (116), pp.3957-3970, 2014.
• Rouyendegh, BD., “Developing an Integrated ANP and Intuitionistic Fuzzy TOPSIS Model For Supplier Selection”, Journal of Testing and Evaluation 43(3), pp.664–672, 2015.
• Rouyendegh, BD., Yıldızbaşı, A. and Arıkan, ÜZ., “Using Intuitionistic Fuzzy TOPSIS in Site Selection Of Wind Power Plants in Turkey”, Advances in Fuzzy Systems, 2018.
• Rouyendegh, BD., Yıldızbaşı, A. and Üstünyer, P., “Intuitionistic Fuzzy TOPSIS Method For Green Supplier Selection Problem”, Soft Computing 24(3), pp.2215-2228, 2020.
• Afshari, R., Yusuff, RM., Hong, TS. and Ismail, YB., “A Review Of The Applications Of Multi Criteria Decision Making For Personnel Selection Problem”, Afr. J. Bus. Manag, 5(28), 2011.
• Akın, NG., “Multi-Criteria Approach to Personnel Selection: Fuzzy Topsis Applications”, J Bus Res Turk, 8(2), pp.224-254, 2016.
• Asemi, A. and Asemi, A., “Intelligent MCDM method for supplier selection under fuzzy environment”, International Journal of Information Science and Management (IJISM), pp.33-40, 2014.
• Boran, FE., Genç, S. and Akay, D., “Personnel Selection Based on Intuitionistic Fuzzy Sets”, Human Factors and Ergonomics in Manufacturing & Service Industries, 21(5), pp.493-503, 2011.
• Değermenci, A. and Ayvaz, B., “Fuzzy Environment Multi Criteria Decision Making Techniques Personnel Selection: Participation in an Application in Banking Sector”, Istanb Commer Univ J Sci, (15), pp.77-93, 2016.
• Korkmaz, O., “Personnel Selection Method Based on TOPSIS Multi-Criteria Decision Making Method”, International Journal of Economic and Administrative Studies, (23), pp.1-16, 2019.
• Mammadova, M. and Jabrayilova, Z, “Application of Fuzzy Optimization Method in Decision-Making For Personnel Selection”, Intelligent Control and Automation, 5(04), pp.190, 2014.
• Wu, Y., Zhang, J., Yuan, J., Geng, S. and Zhang, H, “Study Of Decision Framework Of Offshore Wind Power Station Site Selection Based On ELECTRE-III Under Intuitionistic Fuzzy Environment: A Case Of China”, Energy Convers Manag, (113), pp.66-81, 2016.
• Xu, ZS., “Intuitionistic Fuzzy Aggregation Operators”, IEEE Transactions on Fuzzy Systems, (15), pp.1179-1187, 2007.
• Atanassov, KT., Intuitionistic Fuzzy Sets, Springer, Berlin, Heidelberg, 1999.
• Çitil, M., “Application of the Intuitionistic Fuzzy Logic in Education”, Communications in Mathematics and Applications, 10(1), pp.131-143, 2019.
• Szmidt, E. and Kacprzyk, J., “Distances Between Intuitionistic Fuzzy Sets”, Fuzzy Sets Syst, (114), pp.505-518, 2000.