Fuzzy multi-criteria and multi-experts evaluation of government investments in higher education: the case of Turkey

Technological and Economic Development of Economy

Volumn 19, Issue 4, 2013, Pages 549-569

  Kahraman, Cengiz ^a   Suder, Asli ^a   Cebi, Selcuk ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

AHP; fuzzy; government investment; higher education; multi criteria; multi expert; TOPSIS

Indexed keywords

EID: 84890903720     PISSN: 20294913     EISSN: 20294921     Source Type: Journal    
DOI: 10.3846/20294913.2013.837110     Document Type: Article

References (30)

1. Andersson, R.; Quigley, J. M.; Wilhelmsson, M. 2009. Urbanization, productivity, and innovation: evidence from investment in higher education, Journal of Urban Economics 66(1): 2-15. http://dx.doi.org/10.1016/j.jue.2009.02.004.
2. Arcalean, C.; Schiopu, I. 2010. Public versus private investment and growth in a hierarchical education system, Journal of Economic Dynamics & Control 34(4): 604-622. http://dx.doi.org/10.1016/j.jedc.2009.11.006.
3. Azadeh, A.; Osanloo, M.; Ataei, M. 2010. A new approach to mining method selection based on modifying the Nicholas technique, Applied Soft Computing 10(4): 1040-1061. http://dx.doi.org/10.1016/j.asoc.2009.09.002.
4. Bennell, P.; Pearce, T. 2003. The internationalisation of higher education: exporting education to developing and transitional economies, International Journal of Educational Development 23(2): 215-232. http://dx.doi.org/10.1016/S0738-0593(02)00024-X.
5. Bennell, P.; Pearce, T. 2012. The internationalisation of higher education: exporting education to developing and transitional economies: IDS working paper 75, Institute of Development Studies.
6. Buckley, J. J. 1985. Fuzzy hierarchical analysis, Fuzzy Sets and Systems 34(2): 187-195. http://dx.doi.org/10.1016/0165-0114(90)90158-3.
7. Cebeci, U. 2009. Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard, Expert Systems with Applications 36(5): 8900-8909. http://dx.doi.org/10.1016/j.eswa.2008.11.046.
8. Celik, M.; Kandakoglu, A.; Er, I. D. 2009. Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions, Expert Systems with Applications 36(2): 6918-6927. http://dx.doi.org/10.1016/j.eswa.2008.08.057.
9. Chen, S. J.; Hwang, C. L. 1992. Fuzzy multi attribute decision making: methods and applications. New York: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-46768-4
10. Chen, T.-C. 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems 114(1): 1-9. http://dx.doi.org/10.1016/S0165-0114(97)00377-1.
11. Chen, V. Y. C.; Lien, H.-P.; Liuc, C.-H.; Lioud, J. J. H.; Tzeng, G.-H.; Yang, L.-S. 2011. Fuzzy MCDM approach for selecting the best environment-watershed plan, Applied Soft Computing 11(1): 265-275. http://dx.doi.org/10.1016/j.asoc.2009.11.017.
12. Gradstein, M.; Justman, M. 1995. Competitive investment in higher education: the need for policy co-ordination, Economics Letters 47(3-4): 393-400. http://dx.doi.org/10.1016/0165-1765(94)00554-F.
13. Hsieh, T. Y.; Lu, S. T.; Tzeng, G. T. 2004. Fuzzy MCDM approach for planning and design tenders selection in public office buildings, International Journal of Project Management 22(7): 573-584. http://dx.doi.org/10.1016/j.ijproman.2004.01.002.
14. Hsu, W.-K. K. 2012. Ports' service attributes for ship navigation safety, Safety Science 50(2): 244-252. http://dx.doi.org/10.1016/j.ssci.2011.08.057.
15. Hwang, C. L.; Yoon, K. 1981. Multiple attribute decision making methods and applications. New York: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-48318-9
16. Jaskowski, P.; Biruk, S.; Bucon, R. 2010. Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment, Automation in Construction 19(2): 120-126. http://dx.doi.org/10.1016/j.autcon.2009.12.014.
17. Javanbarg, M. B.; Scawthorn, C.; Kiyono, J.; Shahbodaghkhan, B. 2012. Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization, Expert Systems with Applications 39(1): 960-966. http://dx.doi.org/10.1016/j.eswa.2011.07.095.
18. Kahraman, C.; Çebi, S. 2009. A new multi-attribute decision making method: hierarchical fuzzy axiomatic design, Expert Systems with Applications 36(3): 4848-4861. http://dx.doi.org/10.1016/j.eswa.2008.05.041.
19. Kaya, T.; Kahraman, C. 2011. An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment, Expert Systems with Applications 38(7): 8553-8562. http://dx.doi.org/10.1016/j.eswa.2011.01.057.
20. Krohling, R. A.; Campanharo, V. C. 2011. Fuzzy TOPSIS for group decision making: a case study for accidents with oil spill in the sea, Expert Systems with Applications 38(4): 4190-4197. http://dx.doi.org/10.1016/j.eswa.2010.09.081.
21. Kutlu, A. C.; Ekmekcioglu, M. 2012. Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP, Expert Systems with Applications 39(1): 61-67. http://dx.doi.org/10.1016/j.eswa.2011.06.044.
22. Lavasani, S. M. M.; Yang, Z.; Finlay, J.; Wang, J. 2011. Fuzzy risk assessment of oil and gas offshore wells, Process Safety and Environmental Protection 89(5): 277-294. http://dx.doi.org/10.1016/j.psep.2011.06.006.
23. Lo, Y.-F.; Wen, M.-H. 2010. A fuzzy-AHP-based technique for the decision of design feature selection in Massively Multiplayer Online Role-Playing Game development, Expert Systems with Applications 37(12): 8685-8693. http://dx.doi.org/10.1016/j.eswa.2010.06.059.
24. Opricovic, S.; Tzeng, G. H. 2004. Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research 156(2): 445-455. http://dx.doi.org/10.1016/S0377-2217(03)00020-1.
25. Paksoy, T.; Pehlivan, N. Y.; Kahraman, C. 2012. Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS, Expert Systems with Applications 39(3): 2822-2841. http://dx.doi.org/10.1016/j.eswa.2011.08.142.
26. Pan, N. F. 2009. Selecting an appropriate excavation construction method based on qualitative assessments, Expert Systems with Applications 36(3): 5481-5490. http://dx.doi.org/10.1016/j.eswa.2008.06.097.
27. Tiryaki, F.; Ahlatcioglu, B. 2009. Fuzzy portfolio selection using fuzzy analytic hierarchy process, Information Sciences 179(1-2): 53-69. http://dx.doi.org/10.1016/j.ins.2008.07.023.
28. Voon, J. P. 2001. Measuring social returns to higher education investments in Hong Kong: production function approach, Economics of Education Review 20(5): 503-510. http://dx.doi.org/10.1016/S0272-7757(00)00021-2.
29. Wei, G. 2011. FIOWHM operator and its application to multiple attribute group decision making, Expert Systems with Applications 38(4): 2984-2989. http://dx.doi.org/10.1016/j.eswa.2010.08.087.
30. Zadeh, L. A. 1965. Fuzzy sets, Information Control 8(3): 338-353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X.