TY - JOUR TT - EVALUATION OF RESEARCH PROJECTS OF UNDERGRADUATE STUDENTS IN AN ENGINEERING DEPARTMENT USING TOPSIS METHOD AU - Ozcan, Ugur AU - Dogan, Ahmet AU - Soylemez, İsmet PY - 2016 DA - September JF - The Eurasia Proceedings of Educational and Social Sciences JO - EPESS PB - ISRES Publishing WT - DergiPark SN - 2587-1730 SP - 420 EP - 424 VL - 5 KW - Technical education KW - evaluation of research projects KW - MCDM KW - ranking projects KW - TOPSIS N2 - Evaluation of researchprojects of undergraduate students in an effective manner is important torewarding student success in technical education at Engineering Departments.Research project of undergraduate students evaluation is mainly concerned withevaluating a number of research projects and then to grade them for rewarding.For this purpose, in this paper, an effective method for evaluating and tograde research projects of undergraduate students is proposed. AMultiple-Criteria Decision Making (MCDM) methodology to evaluate the researchprojects is suggested. Firstly, the criteria that will be used in theevaluation are determined and then those criteria are weighted in terms oftheir importance. In order to determine the degree of importance of eachresearch projects the Technique for Order of Preference by Similarity to IdealSolution (TOPSIS) method is used. CR - Coffin, M.A., & Taylor, B.W, (1996). Multiple criteria R&D project selection and scheduling using fuzzy logic. Computers & Operations Research, 23(3), 207–220. Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi‑criteria decision making AHP-TOPSIS methodology for ETL software selection. SpringerPlus, 5, 263. Hsu, Y.G., Tzeng, G.H., & Shyu, J.Z. (2003). Fuzzy multiple criteria selection of government-sponsored frontier technology R&D projects. R&D Management, 33(5), 539–551. Huang, C.C., Chu, P.Y., & Chiang, Y.H. (2008). A fuzzy AHP application in government-sponsored R&D project selection. Omega, 36(6), 1038–1052. Hwang, C.L., & Yoon, K., (1981). Multiple attribute decision making: methods and applications. In Springer, Heidelberg ISO/IEC 9126-1 (2001) Software Engineering-Product Quality—Part 1: Quality Model, International Organization for Standardization. Jayasinghe, U.W., Marsh, H.W., & Bond, N. (2006). A new reader trial approach to peer review in funding research grants: An Australian experiment. Scientometrics, 69(3), 591–606. Juznic, P., Peclin, S., Zaucer, M., Mandelj, T., Pusnik, M., & Demsar, F. (2010). Scientometric indicators: Peer-review, bibliometric methods and conflict of interests. Scientometrics, 85(2), 429–441. Khalili-Damghani, K., Sadi-Nezhad, S., & Tavana, M. (2013). Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation. Information Sciences, 252, 42–61. Linton, J.D., Walsh, S.T., & Morabito, J. (2002). Analysis, ranking and selection of R&D projects in a portfolio. R&D Management, 32(2), 139–148. Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., & Zaeri, M.S. (2007). Project selection by using fuzzy AHP and TOPSIS technique. World Academy of Science, Engineering and Technology, 30, 333–338. Wang, J., & Hwang, W.L. (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega, 35(3), 247–257. UR - https://dergipark.org.tr/en/pub/epess/issue//366838 L1 - https://dergipark.org.tr/en/download/article-file/384233 ER -