A Model Proposal for Course Selection with the Fuzzy MOORA Approach

Year 2018, Issue: 14, 369 - 377, 31.12.2018

Filiz Ersöz , Celal Hakan Kıncı Taner Ersöz

https://doi.org/10.31590/ejosat.496957

Cited By: 7

Abstract

Modern engineering study programme made to fit the needs of industrial enterprises. The programme is based on training and education in the field of industrial engineering and on experience gained during implementation of individual projects in industrial enterprises. Many universities offer courses, in areas such as logistics, supply chain management and analytics. In this study, the importance of courses in industrial engineering undergraduate programs has been researched. Compulsory and optional courses given in industrial engineering have been investigated under the determined criteria. Research, academics working in the industrial engineering department in Turkey, the proper course of materiality is an implementation of the fuzzy logic survey work on assessing the work. The sample order with 32 samples prepared by the academicians responding to the questionnaire was determined with «Fuzzy MOORA» technique as compulsory and optional courses. Studies on course selection were examined, to the best of our knowledge this is the first study using «Fuzzy MOORA» technique to select/rank courses. It is evaluated that MOORA method, which is a new criterion decision method for course choice, will contribute to international literature as «Fuzzy MOORA» approach with fuzzy logic.

Keywords

Course selection, multi-criteria decision making, fuzzy MOORA technique

References

• Gunes, F. (2012). Bologna Süreci ile Yükseköğretimde Öngörülen Beceri ve Yetkinlikler. Journal of Higher Education & Science/Yüksekögretim ve Bilim Dergisi, 2(1).
• Dincer, H. (1994). Türkiye’ de Mühendislik Eğitimi. 2000’li Yıllara Girerken Bilgi Çağında Nasıl Bir Mühendislik Eğitimi Konulu 1. Kongre, EMO İstanbul.
• Erginel, N., Tekçe, M., Küçük, G., & Alper, A. (2016). Türkiye’de Endüstri Mühendisliği Mesleğine Bilimsel Açıdan Bir Bakış. Journal of Industrial Engineering (Turkish Chamber of Mechanical Engineers), 27(1).
• Ercan, S., Metin, B. C., & Düzdar, İ. (2005). Endüstri Mühendisliğine Güncel bir Bakış.
• Ustun, Ö., Kırış, Ş., & Deliktaş, D. (2011). 1. Multi-Criteria Decision Making Methodology for Course Evaluation and Selection in Bologna Process. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (45).
• Sharma, R., Banati, H., & Bedi, P. (2011, August). Incorporating Social Opinion in Content Selection for an E-Learning Course. In Computer Science & Education (ICCSE), 2011 6th International Conference on (pp. 1027-1032). IEEE.
• Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA Approach for ERP System Selection. Decision Science Letters, 1(1), 11-21.
• Ozturk, Z. K. (2014). Using a Multi Criteria Decision Making Approach for Open and Distance Learning System Selection. Anadolu University Journal of Science and Technology–A Applied Sciences and Engineering, 15(1), 1-14.
• Uygurturk, H. (2015). Bankalarin Internet Şubelerinin Bulanık Moora Yöntemi ile Değerlendirilmesi. Uluslararası Yönetim İktisat ve İşletme Dergisi, 11(25), 115-128.
• Akkaya, G., Turanoğlu, B., & Öztaş, S. (2015). An Integrated Fuzzy AHP and Fuzzy MOORA Approachtothe Problem of Industrial Engineering Sector Choosing. Expert Systems with Applications, 42(24), 9565-9573.
• Sisman, B., Dogan, M. (2016). The Evaluations of Financial Performance in Turkish Banks By Using Fuzzy AHP and Fuzzy Moora. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(2), 353-371.
• Dey, B., Bairagi, B., Sarkar, B., &Sanyal, S. K. (2016). Warehouse Location Selection by Fuzzy Multi-Criteria Decision Making Methodologies Based on Subjective and Objective Criteria. International Journal of Management Science and Engineering Management, 11(4), 262-278.
• Sisman, B. (2016). Bulanık Moora Yöntemi Kullanılarak Yeşil Tedarikçi Geliştirme Programlarının Seçimi ve Değerlendirilmesi. Journal of Yaşar University, 11(44), 302-315.
• Lokare, V. T., & Jadhav, P. M. (2016, January). Using the AHP and TOPSIS Methods for Decision Making in Best Course Selection After HSC. In Computer Communication and Informatics (ICCCI), 2016 International Conference on (pp. 1-6). IEEE.
• Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-Criteria Decision Making Approach in E-Learning: A Systematic Review and Classification. Applied Soft Computing, 45, 108-128.
• Altunoz, U. (2017). The Analysing of the Financial Performance of Banks by Using Fuzzy AHP and Fuzzy Moora Approaches: Case of Turkish Banks. Route Educational and Social Science Journal. Volume 4(4), 116-132.
• Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA Method and FMEA Technique for Sustainable Supplier Selection Considering Quantity Discounts and Supplier's Risk. Journal of Cleaner Production, 190, 577-591.
• Altas, İ. H. (1999). Bulanık Mantık: Bulanıklılık Kavramı. Enerji, Elektrik, Elektromekanik-3e, 62, 80-85.
• Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100-108.
• Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35, 445-469.