How to cite this paper
Modarres, M., Sadi-Nezhad, S & Arabi, A. (2010). Fuzzy analytical hierarchy process using preference ratio: A case study for selecting management short course in a business school.International Journal of Industrial Engineering Computations , 1(2), 173-184.
Refrences
Buckley, J. (1985). Fuzzy Hierarchical Analysis. Fuzzy Sets and Systems, 17(3), 233-247.
Buckley.J, Feuring.T & Hayashi. Y.(2001). Fuzzy hierarchical analysis revisited. European Journal of Operational Research, 129, 48-64.
Chang, P-L., & Chen, Y-C.(1994). A Fuzzy multi – criteria decision making method for technology transfer strategy selection in bio technology. Fuzzy Sets and Systems, 64, 131-139.
Chang, D.Y. (1996). Application of the extent analysis method on fuzzy AHP. European Journal of Operational Research,116, 649 – 655.
Chen, S. J. & C. L. Hwang (1992)., Fuzzy Multiple Attribute Decision Making. Springer-Verlag,
Cheng, C.H. (1996). Evaluating Naval tactical Missile Systems by Fuzzy AHP based on the Grade Value of Membership function. European Journal of Operational Research, 96, 343-350.
Cheng, C-H, Yang, K-L & Hwang, C-L. (1999). Evaluating attack helicopter by AHP based on linguistic variable. European Journal Operational Research, 423 – 435.
Deng, Y. & Chang, Y-H. (2000). Fuzzy multi criteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459-473.
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.
Huang, L-C. & Wu, R. (2005). Applying fuzzy analytic hierarchy process in the managerial talent assessment model – an empirical study in Taiwan's semiconductor industry. International Journal of Technology Management, 30(1-2), 105-130.
Laarhoven, P.J.M., & W.Pedrycz. (1985). A Fuzzy Extension of Saaty’s Priority Theory. Fuzzy Sets and Systems, 11(3), 229 – 241.
Leung, L.C. & Cao., D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 126, 459-473.
Lin, H-F., Lee, H-S & Wang, D. W. (2009). Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach. Journal of Information Science, 35 (1), 25-44.
Mikhailov. L. (2004). A fuzzy approach to driving priorities from interval pair wise comparison judgments. European Journal of Operational Research, 159, 687-704.
Mikhailov. L & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic Hierarchy Process. Applied Soft Computing, 5, 23-33.
Modarres. M & Sadi-Nezhad, S. (2001). Ranking fuzzy numbers by preference ratio. Fuzzy Sets and Systems, 118, 429-436.
Modarres, M. & Sadi-Nezhad, S. (2005). Fuzzy simple additive weighting method by preference ratio. Intelligent Automation and Soft Computing. 11, 235-244.
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234-281.
Saaty,T.L. (2006). Rank from comparisons and from rating in the analytic hierarchy/network. European Journal of Operational Research, 168, 557-570.
Saaty, T. L. & Vargas, L. (1994) Decision making with analytic hierarchy process. RWS.
Saaty,T. L. (1996). The analytic hierarchy process. RWS.
Şen, C. G & Çinar, G. (2010). Evaluation and pre-allocation of operators with multiple skills: A combined fuzzy AHP and max-min approach. Expert Systems with Applications, 37, 2043-2053.
Torfi, F., Farahani, R. Z & Rezapour, S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and fuzzy TOPSIS to rank the alternatives. Applied Soft Computing Journal, 10 (2), 520-528.
Yeh ,Deng & Yo- Hern Chang. (2000). Fuzzy multi criteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459-473
Zhu, K. J., Jing, Y. & Chang, D. Y. (1999). A discussion on Extent Analysis Method and applications of Fuzzy AHP. European Journal of Operational Research, 116, 450-456
Buckley.J, Feuring.T & Hayashi. Y.(2001). Fuzzy hierarchical analysis revisited. European Journal of Operational Research, 129, 48-64.
Chang, P-L., & Chen, Y-C.(1994). A Fuzzy multi – criteria decision making method for technology transfer strategy selection in bio technology. Fuzzy Sets and Systems, 64, 131-139.
Chang, D.Y. (1996). Application of the extent analysis method on fuzzy AHP. European Journal of Operational Research,116, 649 – 655.
Chen, S. J. & C. L. Hwang (1992)., Fuzzy Multiple Attribute Decision Making. Springer-Verlag,
Cheng, C.H. (1996). Evaluating Naval tactical Missile Systems by Fuzzy AHP based on the Grade Value of Membership function. European Journal of Operational Research, 96, 343-350.
Cheng, C-H, Yang, K-L & Hwang, C-L. (1999). Evaluating attack helicopter by AHP based on linguistic variable. European Journal Operational Research, 423 – 435.
Deng, Y. & Chang, Y-H. (2000). Fuzzy multi criteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459-473.
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.
Huang, L-C. & Wu, R. (2005). Applying fuzzy analytic hierarchy process in the managerial talent assessment model – an empirical study in Taiwan's semiconductor industry. International Journal of Technology Management, 30(1-2), 105-130.
Laarhoven, P.J.M., & W.Pedrycz. (1985). A Fuzzy Extension of Saaty’s Priority Theory. Fuzzy Sets and Systems, 11(3), 229 – 241.
Leung, L.C. & Cao., D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 126, 459-473.
Lin, H-F., Lee, H-S & Wang, D. W. (2009). Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach. Journal of Information Science, 35 (1), 25-44.
Mikhailov. L. (2004). A fuzzy approach to driving priorities from interval pair wise comparison judgments. European Journal of Operational Research, 159, 687-704.
Mikhailov. L & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic Hierarchy Process. Applied Soft Computing, 5, 23-33.
Modarres. M & Sadi-Nezhad, S. (2001). Ranking fuzzy numbers by preference ratio. Fuzzy Sets and Systems, 118, 429-436.
Modarres, M. & Sadi-Nezhad, S. (2005). Fuzzy simple additive weighting method by preference ratio. Intelligent Automation and Soft Computing. 11, 235-244.
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234-281.
Saaty,T.L. (2006). Rank from comparisons and from rating in the analytic hierarchy/network. European Journal of Operational Research, 168, 557-570.
Saaty, T. L. & Vargas, L. (1994) Decision making with analytic hierarchy process. RWS.
Saaty,T. L. (1996). The analytic hierarchy process. RWS.
Şen, C. G & Çinar, G. (2010). Evaluation and pre-allocation of operators with multiple skills: A combined fuzzy AHP and max-min approach. Expert Systems with Applications, 37, 2043-2053.
Torfi, F., Farahani, R. Z & Rezapour, S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and fuzzy TOPSIS to rank the alternatives. Applied Soft Computing Journal, 10 (2), 520-528.
Yeh ,Deng & Yo- Hern Chang. (2000). Fuzzy multi criteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459-473
Zhu, K. J., Jing, Y. & Chang, D. Y. (1999). A discussion on Extent Analysis Method and applications of Fuzzy AHP. European Journal of Operational Research, 116, 450-456