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References
Bai SM, Chen SM (2008). Automatically Constructing Grade Membership Functions of Fuzzy Rules for Students' Evaluation. Expert Systems with Applications 35(3):1408-1414. |
Bender M, Simonovic S (2000). A fuzzy compromise approach to water resource systems planning under uncertainty. Fuzzy Sets and Systems, 115:33-44. |
Bozbura, FT, Beskese A, Kahraman C (2007). Prioritization of human capital measurement ındicators using fuzzy AHP. Expert Syst. Appl. 32(4):1100-1112. |
Büyüközkan G, Kahraman C, Ruan D (2004). A fuzzy multi-criteria decision approach for software development strategy selection. Int. J. General Syst. 33(2-3):259-280. |
Chan LK, Kao HP, Wu ML (1999). Rating the Importance of customer needs in quality function deployment by fuzzy and entropy methods. Int. J. Prod. Res. 37(11):2499-2518. |
Chang DY (1996). Application of the extent analysis method on fuzzy AHP. Eur. J. Operational Res. 95(3):649-655. |
Chang DF, Sun CM (1993). Fuzzy assessment of learning performance of junior high school students. In Proceedings of the 1993 first national symposium on fuzzy theory and applications, Hsinchu, Taiwan, Republic of China, 10-15. |
Chao RJ, Chen YH (2009). Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations, Expert Syst. Appl. 36(7):10657-10662. |
Chen JF, Hsieh HN, Do QH (2015). Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach. Appl. Soft Comput. 28:100-108. |
Chen SH, Hwang CL (1992). Fuzzy multiple attribute decision making. Springer – Verlag, Germany. |
Cheng AC, Chen CJ, Chen CY (2008). A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development. Technological Forecasting and Social Change, 75(1):131-141. |
Chiou HK, Tzeng GH (2002). Fuzzy multiple-criteria decision-making approach for industrial green engineering. Environ. Manage. 30(6):816-830. |
Chu TC, Lin YC (2003). A Fuzzy TOPSIS Method for Robot Selection. Int. J. Adv. Manufacturing Technol. 21:284-290. |
Çepni S (2006). Performansların DeÄŸerlendirilmesi [Evaluation of performances]. In A. DoÄŸanay & E. Karip (Eds), ÖÄŸretimde planlama ve deÄŸerlendirme. Ankara: PegemA Publishing. pp. 433-456. |
Deng H (1999). Multicriteria analysis with fuzzy pairwise comparison. Int. J. Approximate Reason. 21:215-231. |
Durán O, Aguilo J (2008). Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Syst. Appl. 34:1787-1794. |
Erümit AK (2007). The election of master students with fuzzy AHP method for institute of science and technology (Master's thesis). Institute of Science and Technology. Gazi University, Ankara. |
Forman E, Gass S (2001). The analytic hierarchy process – an exposition. Oper. Res. 49(4):469-486. |
Fu HP, Ho YC, Chen RCY, Chang TH, Chien PH (2006). Factors affecting the adoption of electronic marketplaces: A fuzzy AHP analysis. Int. J. Oper. Production Manage. 26(12):1301-1324. |
Gu X, Zhu Q (2006). Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space. Decis. Support Syst. 41(2):400-410. |
Harker P (1987). Incomplete pairwise comparisons in the analytic hierarchy process. Mathematical Modelling 9(11):837848. |
Ibrahim AM (2001). Assessment of distance education quality using fuzzy sets model. Proceedings of International Conference on Engineering Education, Oslo, Norway. |
Jie C (2010). Evaluation and modeling of online course using fuzzy AHP. In Computer and Information Application (ICCIA), 2010 International Conference on (pp. 232-235). IEEE. |
Kahraman C, Büyüközkan G, AteÅŸ NY (2007). A two phase multi-attribute decision-making approach for new product introduction. Inform. Sci. 177(7):1567-1582. |
Kahraman C, Ruan D, DoÄŸan I (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157:135-153. |
Kavcic A, Pedraza R, Molina H, Valverde F, Cid J, Navia A (2003). Student modelling based on fuzzy inference mechanisms. Proceedings of EUROCON, Slovenia. |
Klir GJ, Yuan B (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications. Paperback, Prentice Hall. |
Kinshuk, Nikov A, Patel A (2001). Adaptative tutoring in business education using fuzzy backpropagation approach. Proceedings of the 9th International Conference on Human-Computer Interaction. New Orleans, USA. |
Law CK (1996). Using Fuzzy Numbers in Educational Grading System. Fuzzy Sets Syst. 83:311-323. |
Lin HF (2010). An application of fuzzy AHP for evaluating course website quality. Comput. Educ. 54(4):877-888. |
Lin HY, Hsu PY, Sheen GJ (2007). A Fuzzy-Based Decision-Making Procedure for Data Warehouse System Selection. Expert Syst. Appl. 32(3):939-953. |
Ma J, Zhou D (2000). Fuzzy Set Approach to the Assessment of Student-Centered Learning. IEEE Transactions on Education 43(2):237-241. |
Mardani A, Jusoh A, Zavadskas EK (2015). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8):4126-4148. |
Montero JA, Alsina RM, Morán JA, Cid M (2005). Fuzzy Logic System for Students' Evaluation, Computational Intelligence and Bio-inspired Systems, Lecture Notes Comput. Sci. 35(12):1246-1253. |
Nagpal R, Mehrotra D, Bhatia PK, Sharma A (2015). FAHP approach to rank educational websites on usability. Int. J. Comput.Digital Syst. 4(4):251–260. |
Nitko AJ (2001). Educational assessment of student (3rd ed). NJ:Prentice Hall/Merr'll Education, Enlewood. |
Ong SK, Sun MJ, Nee AYC (2003). A fuzzy set AHP-based DFM tool for rational parts. J. Materials Processing Technol. 138(1):223-230. |
Pedrycz W, Gomide F (1998). An Introduction to Fuzzy Sets: Analysis and Design. MIT Press, Cambridge. |
Saaty TL (1980). The analytic hierarchy process. McGraw-Hill, New York. |
Saaty TL (1990). How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res. 48(1):9-26. |
Saleh I, Kim SI (2009). A Fuzzy System for Evaluating Students' Learning Achievement. Expert Systems with Applications, 36(3):6236-6243. |
Wu MH (2003). Research on Applying Fuzzy Set Theory and Item Response Theory to Evaluate Learning Performance. Master Thesis, Department of Information Management, Chaoyang University of Technology, Wufeng, Taichung County, Republic of China. |
Yang CC, Chen BS (2004). Key quality performance evaluation using fuzzy AHP. J. Chinese Institute Ind. Eng. 21(6):543-550. |
Zadeh LA (1965). Fuzzy sets. Information and Control. 8(3):338-353. |
Zadeh LA, Kacprzyk J (1992). Fuzzy Logic for the Management of Uncertainty. John Wiley & Sons Inc., Newyork |
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. Appl. Soft Comput. 45:108-128. |
Zhang G, Lu J (2003). An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria. Group Decision Negotiation 12:501-515. |
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