Yıl: 2016 Cilt: 7 Sayı: 3 Sayfa Aralığı: 21 - 37 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods

Öz:
Turkey's economy has expanded in recent years with the increase in energy consumption. Energy is a key input in production and plays a crucial role in the development of an economy. Energy sector interacts with other sectors hence the performances of energy firms are inevitable to follow-up. In the study thirteen energy firms are evaluated with 5 main and 15 sub-criteria for the period of 2008-2013. The 15 sub-criteria are classified in the following main criteria: liquidity, activity, financial leverage, profitability and growth ratios. The weights of the ratios are determined by Fuzzy AHP and then Fuzzy TOPSIS method is used for the rankings of the energy firms. Traditional multi-criteria decision making methods are not used in this study, due to the fact that they are insufficient under uncertainty. After 2008 global financial crisis, the uncertainty has increased all over the world hence the usage of fuzzy methods can provide better results under these conditions. Findings show that Avrasya Oil, Turcas and Aksu have the highest ranking.
Anahtar Kelime:

Konular: Tarih
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Akkoç, S., & Vatansever, K. (2013). Fuzzy performance evaluation with AHP and TOPSIS methods: evidence for Turkish banking sector after the global financial crisis. Eurasian Journal of Business and Economics, 6, 53-74.
  • Beşkese, A., Demir, H. H., Özcan, H. K., & Ökten, H. E. (2015). Landfill site selection using Fuzzy AHP and Fuzzy TOPSIS: A case study for Istanbul. Environment Earth Science, 73, 3513-3521.
  • Bronja, H., & Bronja, H. (2014). Two-phase selection procedure of aluminized sheet supplier by applying Fuzzy AHP and Fuzzy TOPSIS methodology. Tecnicki Vjesnik, 22, 821-828.
  • Büyüközkan, G., Kahraman, C., & Ruan, D. (2004). A fuzzy multi-criteria decision approach for software development strategy selection. International Journal of General Systems, 33, 259-280.
  • Chamodrakas, I. B. D., & Martakos, D. (2010). Supplier selection in electronic marketplaces using satisficing and Fuzzy AHP. Expert Systems with Applications. 37, 490-498.
  • Chang, Y. H., Cheng, C.H., & Wang, T.C. (2003). Performance evaluation of international airport in the region of East Asia. In Proceedings of Eastern Asia Society for transportation studies, 4, 213-230.
  • Chang, D. Y. (1996). Applications of the extent analysis method on Fuzzy AHP. European Journal of Operational Research. 95, 649-655.
  • Chen, F., Yizeng, C., Jian, Z., & Yuanyuan, L. (2016). Optimizing h value for fuzzy linear regression with asymmetric triangular fuzzy coefficients. Engineering Applications of Artificial Intelligence, 47, 16-24.
  • Chen, G., & Pham, T. T. (2001). Introduction to Fuzzy Sets, Fuzzy Logic and Fuzzy Control Systems, CRC Press, LLC.
  • Chen, J. F., Hsieh, H. N. & Do, Q. H. (2015). Evaluating teaching performance based on Fuzzy AHP and comprehensive evaluation approach. Applied Soft Computing, 28, 100-108.
  • Chou, T. Y., & Liang, G.S. (2001). Application of a fuzzy multi-criteria decision making model for shipping company performance evaluation. Maritime Policy & Management, 28, 375-392.
  • Dymova, L., Sevastjanov, P., & Tikhonenko, A. (2015). An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts. Knowledge-Based Systems, 83, 116-127.
  • Erginel, N. &Senturk, S. (2011). Ranking of the GSM operators with Fuzzy ANP. Proceedings of the World Congress on Engineering, June 6-8, London UK.
  • Ergül, N. (2010). İMKB'de işlem gören enerji şirketlerinin mali performanslarının TOPSİS yöntemi ile analizi. Beta Yayınları, 1. Baskı.
  • Ertuğrul, E. & Karakaşoğlu, N. (2009). Performance evaluation of Turkish cement firms with Fuzzy Analytic Hierarchy Process and TOPSIS methods. Expert System with Applications, 36, 702-715.
  • Feng, C. M., & Wang, R.T. (2000). Performance evaluation for airlines including the consideration of financial ratios. Journal of Air Transport Management, 6, 133­142.
  • Gu, X., & Zhu, Q. (2006). Fuzzy-multi attributes decision-making method based on eigenvector of fuzzy attribute evaluation space. Decision Support Systems, 41, 400-410.
  • Hu, J., & Peng, J. (2008). Application of supplier selection based on the AHP theory, Knowledge Acquisition and Modeling Workshop (International Symposium), 1095-1097. http://www.dogaka.gov.tr/Icerik/Dosya/www.dogaka.gov.tr_524_OP3D61SM_Enerji-Sektor-Raporu-2014.pdf, 10.01.2016.
  • Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Berlin: Springer.
  • Ignatius, J., Behzadian, M., Malekan H. S., & Lalitha, D. (2012). Financial performance of Iran's automotive sector based on PROMETHEE II. Proceeding of the IEEE ICMIT, 35-38.
  • Isaai, M. T., Kanani, A., Tootoonchi, M., & Afzali, H. R. (2011). Intelligent timetable evaluation using Fuzzy AHP. Expert Systems with Applications, 38, 3718-3723.
  • Kalogeras, N., Baourakis, G., Zopounidis, C., & Van Dijk, G. (2005). Evaluating the financial performance of agri-food firms: a multicriteria decision-aid approach. Journal of Food Engineering, 70, 365-371.
  • Kamvysi K., Gotzamani, K., Andronikidis, A. & Georgiou, A. C. (2014). Capturing and prioritizing students' requirements for course design by embedding Fuzzy-AHP and linear programming in QFD. European Journal of Operational Research, 237, 1083-1094.
  • Kartalopolous, S. V. (1995). Understanding neural networks and fuzzy logic: basic concepts and applications, the institute of electrical and electronics engineers Inc., New York.
  • Kumar, A., Shankar, R., & Debnath, R. M. (2015). Analyzing customer preference and measuring relative efficiency in telecom sector: a hybrid Fuzzy AHP/DEA study. Telematics and Informatics, 32, 447 462.
  • Kılınçcı, O. & Önal, S. A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38, 9656-9664.
  • Lee, C., Chiang, C., & Chen, C. (2012). An evaluation model of e-service quality by applying hierarchical Fuzzy TOPSIS method. International Journal of Electronic Business Management, 10, 38-49.
  • Lee, S. K., Mogi, G., Lee, S. K., Hui, K. S., & Kim, J. W. (2010). Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: the Fuzzy AHP/DEA integrated model approach. International Journal of Hydrogen Energy, 35, 2236-2246.
  • Lin, H. (2010). An application of Fuzzy AHP for evaluating course website quality. Computer & Education, 54, 877-888.
  • Mahrooz, A., Maedeh, S., & Morteza, P. (2013). Performance evaluation of banks using Fuzzy AHP and TOPSIS, case study: state-owned banks, particularly private and private banks in Iran. Caspain Journal of Applied Sciences Research, 2, 128-138.
  • Mandic, K., Delibasic, B., Knezevic, S., & Benkovic, S. (2014). Analysis of the financial parameters of Serbian banks through the application of the Fuzzy AHP and TOPSIS methods. Economic Modelling, 43, 30-37.
  • Mangla, S. K., Kumar, P., & Mukesh, K. B. (2015). Risk analysis in green supply chain using Fuzzy AHP approach: a case study, Resources, Conservations and Recycling, 104, 375-390.
  • Mosadeghi, R., Warnken, J., Tomlinson, R. & Mirfenderesk, H. (2015). Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning, computers. Environment and Urban Systems, 49, 54-65.
  • Nguyen, H. T., Md Dawal, S. Z., Nukman, Y., Aoyama, H. & Case, K. (2015). An integrated approach for fuzzy linguistic preference based AHP and Fuzzy COPRAS for machine tool evaluation, Plos One, 1 24.
  • Punniyamoorty, M., Ponnusamy, M., & Lakshmi, G. (2012). A combined application of Structural Equation Modeling (SEM) and Analytic Hierarchy Process (AHP) in supplier selection. Benchmarking: An International Journal, 19,70-92. Rezaei, J., Fahim, P. B. M., & Tavasszy, L. (2014). Supplier selection in the airline retail industry using a funnel methodology: conjunctive screening method and Fuzzy AHP. Expert Systems with Applications, 41, 8165-8179.
  • Sakarya, Ş., Yıldırım, H.H., & Akkuş, H.T. (2015). BİST'de işlem gören enerji şirketlerinin finansal performanslarının TOPSİS çok kriterli karar verme yöntemi ile belirlenmesi, 19. Finans Sempozyumu, 21-24 Ekim, Çorum.
  • Seçme, N. Y., Bayrakdaroğlu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish banking sector using Analytic Hierarchy Process and TOPSIS. Expert Systems Applications, 36, 11699-11709.
  • Song, W., Ming, X., Wu, Z., & Zhu, B. (2013). Failure modes and effects analysis using integrated weight-based Fuzzy TOPSIS. International Journal of Computer Integrated Manufacturing, 26, 1172-1186.
  • Sultana, I., Imtiaz, A., & Azeem, A. (2015). An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP & Fuzzy TOPSIS. Journal of Intelligent & Fuzzy Systems, 29, 1273-1287.
  • Sun, C. (2010). A performance evaluation model by integrating Fuzzy AHP and Fuzzy TOPSIS methods. Expert Systems with Applications, 37, 7745-7754.
  • Tanaka, K. (1997). An inroduction to fuzzy logic for practical applications, Springer-Verlag Newyork.
  • Viswanadham, N. & Samvedi, A. (2013). Supplier selection based on supply chain ecosystem, performance and risk criteria. International Journal of Production Research, 51, 6484-6498.
  • Wang, Y. J. (2008). Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan. Expert Systems with Applications, 34, 1837-1845.
  • Weifeng, X., & Gong, H. (2008). Using Fuzzy Analytic Hierarchy Process and Balanced Scorecard for commercial bank performance assessment. In Business and Information Management, IEEE, 1, 432-435.
  • Xia, W., & Wu, Z. (2007). Supplier selection with multiple criteria in volume discount environments. Omega, 35, 494- 504.
  • Yalçın, N., Bayrakdaroğlu, A., & Kahraman, C. (2012). Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries. Expert Systems with Applications, 39,350-364.
  • Yue, Z. (2013). An avoiding information loss approach to group decision making. Applied Mathematical Modeling, 37, 112-126.
  • Yurdakul, M., & İç, Y. T. (2003). Türk otomotiv firmalarının performans ölçümü ve analizine yönelik TOPSIS yöntemini kullanan bir örnek çalışma. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 18, 1-18.
APA eyuboglu k, Senturk P (2016). Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. , 21 - 37.
Chicago eyuboglu kemal,Senturk Pelin Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. (2016): 21 - 37.
MLA eyuboglu kemal,Senturk Pelin Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. , 2016, ss.21 - 37.
AMA eyuboglu k,Senturk P Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. . 2016; 21 - 37.
Vancouver eyuboglu k,Senturk P Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. . 2016; 21 - 37.
IEEE eyuboglu k,Senturk P "Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods." , ss.21 - 37, 2016.
ISNAD eyuboglu, kemal - Senturk, Pelin. "Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods". (2016), 21-37.
APA eyuboglu k, Senturk P (2016). Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. İşletme ve Ekonomi Araştırmaları Dergisi, 7(3), 21 - 37.
Chicago eyuboglu kemal,Senturk Pelin Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. İşletme ve Ekonomi Araştırmaları Dergisi 7, no.3 (2016): 21 - 37.
MLA eyuboglu kemal,Senturk Pelin Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. İşletme ve Ekonomi Araştırmaları Dergisi, vol.7, no.3, 2016, ss.21 - 37.
AMA eyuboglu k,Senturk P Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. İşletme ve Ekonomi Araştırmaları Dergisi. 2016; 7(3): 21 - 37.
Vancouver eyuboglu k,Senturk P Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods. İşletme ve Ekonomi Araştırmaları Dergisi. 2016; 7(3): 21 - 37.
IEEE eyuboglu k,Senturk P "Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods." İşletme ve Ekonomi Araştırmaları Dergisi, 7, ss.21 - 37, 2016.
ISNAD eyuboglu, kemal - Senturk, Pelin. "Financial Performance Evaluation of Turkish Energy Companies with Fuzzy AHP and Fuzzy TOPSIS Methods". İşletme ve Ekonomi Araştırmaları Dergisi 7/3 (2016), 21-37.