How to cite this paper
Salehi, A & Izadikhah, M. (2014). A novel method to extend SAW for decision-making problems with interval data.Decision Science Letters , 3(2), 225-236.
Refrences
Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515.
Burg, J. P. (1967). Maximum entropy spectral analysis. In 37th Annual International Meeting.. Society of Exploration Geophysics.
Chen, M. F., Tzeng, G. H., & Ding, C. G. (2003, May). Fuzzy MCDM approach to select service provider. In Fuzzy Systems, 2003. FUZZ & apos; 03. The 12th IEEE International Conference on (Vol. 1, pp. 572-577). IEEE.
Chu, M. T., Shyu, J., Tzeng, G. H., & Khosla, R. (2007). Comparison among three analytical methods for knowledge communities group-decision analysis. Expert systems with applications, 33(4), 1011-1024.
Dyer, J. S., Fishburn, P. C., Steuer, R. E., Wallenius, J., & Zionts, S. (1992). Multiple criteria decision making, multiattribute utility theory: the next ten years. Management science, 38(5), 645-654.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer.
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973.
Feng, C. M., & Chen, C. F. (1992). The determination of criteria weights-compromised weighting method. Traffic and Transportation, 14, 51-67.
Ginevi?ius, R., & Podvezko, V. (2008a). Multicriteria graphical?analytical evaluation of the financial state of construction enterprises. Technological and Economic Development of Economy, 14(4), 452-461.
Ginevi?ius, R., & Podvezko, V. (2008b). Multicriteria evaluation of Lithuanian banks from the perspective of their reliability for clients. Journal of Business Economics and Management, 9(4), 257-267.
Ginevicius, R., & Podvezko, V. (2008c). Housing in the context of economic and social development of Lithuanian regions. International Journal of Environment and Pollution, 35(2), 309-330.
Ginevi?ius, R., & Ginevi?iene, V. B. (2009). The compliance of master & apos; s degree studies with the economic needs of the country. Technological and Economic Development of Economy, 15(1), 136-153.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer.
Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., & Davoodi, A. R. (2009). Extension of TOPSIS for decision-making problems with interval data: Interval efficiency. Mathematical and Computer Modelling, 49(5), 1137-1142.
Jakimavi?ius, M., & Burinskiene, M. (2009). A GIS and multi?criteria?based analysis and ranking of transportation zonesof Vilniuscity. Technological and Economic Development of Economy, 15(1), 39-48.
Judge, G., & Miller, D. (1996). Maximum entropy econometrics: Robust estimation with limited data. John Wiley.
Podvezko, V. (2008). Comprehensive evaluation of complex quantities. Business: Theory and Practice, 9(3), 160-168.
Podvezko, V., Mitkus, S., & Trink?niene, E. (2010). Complex evaluation of contracts for construction. Journal of Civil Engineering and Management, 16(2), 287-297.
Rosenfeld, R. (2005). Adaptive statistical language modeling: a maximum entropy approach (Doctoral dissertation, IBM).
Sivilevicius, H., Zavadskas, E. K., & Turskis, Z. (2008). Quality attributes and complex assessment methodology of the asphalt mixing plant. Baltic Journal of Road and Bridge Engineering, 3(3). 161-166.
Shannon, C. E. (2001). A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review, 5(1), 3-55.
Wang, Y. M., Greatbanks, R., & Yang, J. B. (2005). Interval efficiency assessment using data envelopment analysis. Fuzzy sets and Systems,153(3), 347-370.
Wang, Y. M., Yang, J. B., & Xu, D. L. (2005). A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy sets and systems, 152(3), 475-498.
Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Applications,36(5), 8980-8985.
Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936-946.
Zavadskas, E. K., Turskis, Z., Dejus, T., & Viteikiene, M. (2007). Sensitivity analysis of a simple additive weight method. International Journal of Management and Decision Making, 8(5), 555-574.
Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Tamo?aitiene, J. (2008). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), 85-93.
Zeleny, M. (1982). Multiple criteria decision making (Vol. 25). J. L. Cochrane (Ed.). New York: McGraw-Hill.
Zimmermann, H. J. (1991). Fuzzy sets and its applications.
Burg, J. P. (1967). Maximum entropy spectral analysis. In 37th Annual International Meeting.. Society of Exploration Geophysics.
Chen, M. F., Tzeng, G. H., & Ding, C. G. (2003, May). Fuzzy MCDM approach to select service provider. In Fuzzy Systems, 2003. FUZZ & apos; 03. The 12th IEEE International Conference on (Vol. 1, pp. 572-577). IEEE.
Chu, M. T., Shyu, J., Tzeng, G. H., & Khosla, R. (2007). Comparison among three analytical methods for knowledge communities group-decision analysis. Expert systems with applications, 33(4), 1011-1024.
Dyer, J. S., Fishburn, P. C., Steuer, R. E., Wallenius, J., & Zionts, S. (1992). Multiple criteria decision making, multiattribute utility theory: the next ten years. Management science, 38(5), 645-654.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer.
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973.
Feng, C. M., & Chen, C. F. (1992). The determination of criteria weights-compromised weighting method. Traffic and Transportation, 14, 51-67.
Ginevi?ius, R., & Podvezko, V. (2008a). Multicriteria graphical?analytical evaluation of the financial state of construction enterprises. Technological and Economic Development of Economy, 14(4), 452-461.
Ginevi?ius, R., & Podvezko, V. (2008b). Multicriteria evaluation of Lithuanian banks from the perspective of their reliability for clients. Journal of Business Economics and Management, 9(4), 257-267.
Ginevicius, R., & Podvezko, V. (2008c). Housing in the context of economic and social development of Lithuanian regions. International Journal of Environment and Pollution, 35(2), 309-330.
Ginevi?ius, R., & Ginevi?iene, V. B. (2009). The compliance of master & apos; s degree studies with the economic needs of the country. Technological and Economic Development of Economy, 15(1), 136-153.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer.
Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., & Davoodi, A. R. (2009). Extension of TOPSIS for decision-making problems with interval data: Interval efficiency. Mathematical and Computer Modelling, 49(5), 1137-1142.
Jakimavi?ius, M., & Burinskiene, M. (2009). A GIS and multi?criteria?based analysis and ranking of transportation zonesof Vilniuscity. Technological and Economic Development of Economy, 15(1), 39-48.
Judge, G., & Miller, D. (1996). Maximum entropy econometrics: Robust estimation with limited data. John Wiley.
Podvezko, V. (2008). Comprehensive evaluation of complex quantities. Business: Theory and Practice, 9(3), 160-168.
Podvezko, V., Mitkus, S., & Trink?niene, E. (2010). Complex evaluation of contracts for construction. Journal of Civil Engineering and Management, 16(2), 287-297.
Rosenfeld, R. (2005). Adaptive statistical language modeling: a maximum entropy approach (Doctoral dissertation, IBM).
Sivilevicius, H., Zavadskas, E. K., & Turskis, Z. (2008). Quality attributes and complex assessment methodology of the asphalt mixing plant. Baltic Journal of Road and Bridge Engineering, 3(3). 161-166.
Shannon, C. E. (2001). A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review, 5(1), 3-55.
Wang, Y. M., Greatbanks, R., & Yang, J. B. (2005). Interval efficiency assessment using data envelopment analysis. Fuzzy sets and Systems,153(3), 347-370.
Wang, Y. M., Yang, J. B., & Xu, D. L. (2005). A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy sets and systems, 152(3), 475-498.
Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Applications,36(5), 8980-8985.
Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936-946.
Zavadskas, E. K., Turskis, Z., Dejus, T., & Viteikiene, M. (2007). Sensitivity analysis of a simple additive weight method. International Journal of Management and Decision Making, 8(5), 555-574.
Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Tamo?aitiene, J. (2008). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), 85-93.
Zeleny, M. (1982). Multiple criteria decision making (Vol. 25). J. L. Cochrane (Ed.). New York: McGraw-Hill.
Zimmermann, H. J. (1991). Fuzzy sets and its applications.