CHEN, C. and C. M. KLEIN (1997), “An Efficient Approach to Solving Fuzzy MADM Problems”, Fuzzy Sets and Systems, 88, pp. 51-67.
Constitution of Republic of Turkey (1982), Regulations of Graduate Education, Law No. 2547, 130.
DUBOIS, D. and H. PRADE (1980), “Ranking of Fuzzy Numbers in The Setting of Possibility Theory”, Information Science 30, pp. 183-224.
LEE, E.S. and R.L. LI (1988), “Comparison of Fuzzy Numbers Based on The Probability Measure of Fuzzy Events”, Computers and Mathematics with Applications, 15, pp. 887–896.
ZIMMERMANN, H.J. (1987), Fuzzy Set, Decision Making and Expert System, Kluwer, Boston.
BUCKLEY, J.J. (1984), “The Multiple Judge, Multiple Criteria Ranking Problems - A Fuzzy Set Approach” Fuzzy Sets and Systems, 13, pp. 25-37.
BUCKLEY, J.J. (1985), “Ranking Alternatives Using Fuzzy Numbers”, Fuzzy Sets and Systems, 15, pp. 21-31.
ZADEH, L.A. (1984), “Making Computers Think Like People”, IEEE Spectrum, 8, pp. 26-32.
ZADEH, L.A. (1965), “Fuzzy Sets”, Information and Control, 2, pp. 338-353.
ZADEH, L.A. (1973), “Outline of A New Approach to The Analysis of Complex Systems and Decision Processes”, IEEE Transactions on Systems, Man, and Cybernetics, 3, pp. 28-44.
RAJ, P.A. and D.N. KUMAR (1999), “Ranking Alternatives With Fuzzy Weights Using Maximizing Set and Minimizing Set”, Fuzzy Sets and Systems, 105, pp. 365-375.
RIBEIRO, R.A. (1996), “Fuzzy Multiple Attribute Decision Making: A Review and New Preference Elicitation Techniques”, Fuzzy Sets and Systems, 78, pp. 155-181.
CHEN, S.H. (1985), “Ranking Fuzzy Numbers With Maximizing Set and Minimizing Set”, Fuzzy Sets and Systems, 17, pp. 113-129.
CHEN, S.H and C.L. HWANG, “Fuzzy Multiple attribute Decision Making Methods and Applications”, in. Lecture Notes in Economics and Mathematical Systems, Springer, Berlin, 1992.
SIMONOVIC, S.P. (2001), Fuzzy Set Ranking Methods and Multiple Expert Decision Making, The University of Western Ontario, Ontario.
The MathWorks Inc. (1999), Fuzzy Logic Toolbox User’s Guide.
CHEN, C. and C. M. KLEIN (1997), “An Efficient Approach to Solving Fuzzy MADM Problems”, Fuzzy Sets and Systems, 88, pp. 51-67.
Constitution of Republic of Turkey (1982), Regulations of Graduate Education, Law No. 2547, 130.
DUBOIS, D. and H. PRADE (1980), “Ranking of Fuzzy Numbers in The Setting of Possibility Theory”, Information Science 30, pp. 183-224.
LEE, E.S. and R.L. LI (1988), “Comparison of Fuzzy Numbers Based on The Probability Measure of Fuzzy Events”, Computers and Mathematics with Applications, 15, pp. 887–896.
ZIMMERMANN, H.J. (1987), Fuzzy Set, Decision Making and Expert System, Kluwer, Boston.
BUCKLEY, J.J. (1984), “The Multiple Judge, Multiple Criteria Ranking Problems - A Fuzzy Set Approach” Fuzzy Sets and Systems, 13, pp. 25-37.
BUCKLEY, J.J. (1985), “Ranking Alternatives Using Fuzzy Numbers”, Fuzzy Sets and Systems, 15, pp. 21-31.
ZADEH, L.A. (1984), “Making Computers Think Like People”, IEEE Spectrum, 8, pp. 26-32.
ZADEH, L.A. (1965), “Fuzzy Sets”, Information and Control, 2, pp. 338-353.
ZADEH, L.A. (1973), “Outline of A New Approach to The Analysis of Complex Systems and Decision Processes”, IEEE Transactions on Systems, Man, and Cybernetics, 3, pp. 28-44.
RAJ, P.A. and D.N. KUMAR (1999), “Ranking Alternatives With Fuzzy Weights Using Maximizing Set and Minimizing Set”, Fuzzy Sets and Systems, 105, pp. 365-375.
RIBEIRO, R.A. (1996), “Fuzzy Multiple Attribute Decision Making: A Review and New Preference Elicitation Techniques”, Fuzzy Sets and Systems, 78, pp. 155-181.
CHEN, S.H. (1985), “Ranking Fuzzy Numbers With Maximizing Set and Minimizing Set”, Fuzzy Sets and Systems, 17, pp. 113-129.
CHEN, S.H and C.L. HWANG, “Fuzzy Multiple attribute Decision Making Methods and Applications”, in. Lecture Notes in Economics and Mathematical Systems, Springer, Berlin, 1992.
SIMONOVIC, S.P. (2001), Fuzzy Set Ranking Methods and Multiple Expert Decision Making, The University of Western Ontario, Ontario.
The MathWorks Inc. (1999), Fuzzy Logic Toolbox User’s Guide.
Baran, Y. . D. . D. . A., & Kılağız, Y. . D. . D. . Y. (2006). A Decision Maker System For Academician Selection With Fuzzy Weighting And Fuzzy Ranking. Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi(26).