[1] Yu, P. L. (1973). A class of solutions for group decision problems. Management science, 19(8), 936-946.
[2] Zeleny, M. (Ed.). (2012). Multiple criteria decision making Kyoto 1975 (Vol. 123). Springer Science & Business Media.
[3] Yu, P. L. (2013). Multiple-criteria decision making: concepts, techniques, and extensions (Vol. 30). Springer Science & Business Media.
[4] Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC press.
[5] triantaphyllou, E. (2000). multi-criteria decision making methods: a comparative study. kluwer academic publishers, dordrecht.
[6] wang, h. f. (2000). Fuzzy multicriteria decision making—an overview. Journal of intelligent & Fuzzy Systems, 9(1, 2), 61-83.
[7] Chen, S. J., & Hwang, C. L. (1991). Fuzzy multiple attribute decision making. Springer Verlag, Berlin.
[8] Ribeiro, R. A. (1996). Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy sets and systems, 78(2), 155-181.
[9] Prékopa, A. (2013). Stochastic programming (Vol. 324). Springer Science & Business Media.
[10] Sengupta, J. K. (1981). Optimal decision under uncertainty. Springer, New York.
[11] Vajda, S. (1972). Probabilistic programming. Academic Press, New York.
[12] Liu, X. (2004). On the methods of decision making under uncertainty with probability information. International journal of intelligent systems, 19(12), 1217-1238.
[13] Moore, R. E. (1979). Method and application of interval analysis. SIAM, Philadelphia.
[14] Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied mathematics and computation, 175(2), 1375-1384.
[15] 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.
[16] Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European journal of operational research, 178(2), 514-529.
[17] Choobineh, F., & Behrens, A. (1993). Use of intervals and possibility distributions in economic analysis. Journal of the operational research society, 43(9), 907-918.
[18] Sengupta, A., & Pal, T. K. (2006). Solving the shortest path problem with interval arcs. Fuzzy optimization and decision making, 5(1), 71-89.
[19] Alefeld, G., & Herzberger, J. (2012). Introduction to interval computation. Academic press.
[20] Kearfott, R. B., & Kreinovich, V. (Eds.). (2013). Applications of interval computations (Vol. 3). Springer Science & Business Media.
[21] Shaocheng, T. (1994). Interval number and fuzzy number linear programmings. Fuzzy sets and systems, 66(3), 301-306.
[22] Moore, R., & Lodwick, W. (2003). Interval analysis and fuzzy set theory. Fuzzy sets and systems, 135(1), 5-9.
[23] Bhattacharyya, R. (2015). A grey theory based multiple attribute approach for R&D project portfolio selection. Fuzzy information and engineering, 7(2), 211-225.