EVALUATION OF RESEARCH PROJECTS OF UNDERGRADUATE STUDENTS IN AN ENGINEERING DEPARTMENT USING TOPSIS METHOD
Year 2016,
Volume: 5 , 420 - 424, 01.09.2016
Ugur Ozcan
Ahmet Dogan
İsmet Soylemez
Abstract
Evaluation of research
projects of undergraduate students in an effective manner is important to
rewarding student success in technical education at Engineering Departments.
Research project of undergraduate students evaluation is mainly concerned with
evaluating a number of research projects and then to grade them for rewarding.
For this purpose, in this paper, an effective method for evaluating and to
grade research projects of undergraduate students is proposed. A
Multiple-Criteria Decision Making (MCDM) methodology to evaluate the research
projects is suggested. Firstly, the criteria that will be used in the
evaluation are determined and then those criteria are weighted in terms of
their importance. In order to determine the degree of importance of each
research projects the Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS) method is used.
References
- 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.
Year 2016,
Volume: 5 , 420 - 424, 01.09.2016
Ugur Ozcan
Ahmet Dogan
İsmet Soylemez
References
- 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.