[3] Akyar, H., Akyar, E. (2011, January) A graphical method for solving interval matrix games. Abstr.
Appl. Anal., (Vol. 2011), Hindawi.
[4] Batamiz, A., Allahdadi, M., Haldik, M. (2020) Optaining efficient solutions of interval multiobjective linear programming problems. Int. J. Fuzzy Syst., 22, 873-890.
[5] Chakara, A., Tiwari, S. P., Chattopadhyay, A. and Chatterjee, K. (2012) Multiobjective linear programmings problem with interval-coefficients based on preference relations. J. adv. res. appl. math.,
4, 1-11.
[6] Chanas, S., Kuchta, D. (1996) Multiobjective programming in optimization of interval objective
functions-A generalized approach. Eur. J. Oper. Res., 94, 594-598.
[7] Ebrahimnejad, A. (2021) An acceptability index based approach for solving shortest path problem
on a network with interval weights. RAIRO-Oper. Res., 55, S1767-S1787.
[8] Ehrgott, M. (2005) Multicritenria Optimization. Springer, Berlin.
[9] Hu, B. Q., Wang, S. (2006) A novel approach in uncertain programming part i: New arithmetic and
order relation for interval numbers. J. Ind. Manag. Optim., 2(4), 351–371.
[10] Inuiguchi, M., Kume, Y. (1991) Dominance relations as bases for constructing solution concepts in
linear programming with multiple interval objective functions. Bull. Univer. Osaka Prefec., Series
A: Eng. Nat. Sci., 40, 275-292.
[11] Inuiguchi, M., Kume, Y. (1991) Efficient solutions versus nondominated solutions in linear programming with multiple interval objective functions. Bull. Univer. Osaka Prefec., Series A: Eng.
Natur. Sci., 40, 293-298.
[12] Inuiguchi, M., Kume, Y. (1992) Properties of nondominated solutions to linear programming problems with multiple interval objective functions. Bull. Univer. Osaka Prefec., Series A: Eng. Natur.
Sci., 41, 23-37.
[13] Inuiguchi, M., Sakawa, M. (1995) Minimax regret solution to linear programming problems with an
interval objective function. Eur. J. Oper. Res., 86, 526-536.
[14] Ishibuchi, H., Tanaka, H. (1990) Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res., 48 , 219-225.
[15] Karmakar, S., Bhunia, A. K. (2012) A Comparative Study of Different Order Relations of Intervals.
Reliab. Comput., 16, 38-72.
[16] Kulpa, Z. (1997) Diagrammatic representation for a space of intervals. Mach. Graph. Vision., 6(1),
5-24.
[17] Kundu, S. (1997) Min-transitivity of fuzzy leftness relationship and its application to decision making. Fuzzy. Sets. Syst., 86, 357-367.
[18] Oliveira, C., Antunes, C. H. (2007) Multiple objective linear programming models with interval
coefficients-an illustrative overview. Eur. J. Oper. Res., 18, 1434-1463.
[19] Oliveira, C., Antunes, C. H. (2009) An interactive method of tackling uncertainty in interval multiple
objective linear programming. J. Math. Sciences., 161, 854-866.
[20] Mahato, S. K., Bhunia, A. K. (2006) Interval-arithmetic-oriented interval computing technique for
global optimization. Appl. Math. Res. Express., 2006, 1–19.
[21] Moore, R. E. (1966) Interval analysis. Englewood Cliffs, NJ: Prentice-Hall.
[22] Moore, R. E. (1979) Method and Application of Interval Analysis. SIAM, Philadelphia.
[23] Qin, X. S., Xu, Y. (2011) Analyzing urban water supply through an acceptability-index-based interval approach. Adv. Water. Resour., 34(7), 873-88.
[24] Rivaz, S., Yaghoobi, M.A. (2013) Minimax regret solution to multiobjective linear programming
problems whith interval objective function coefficients. Cent. Eur. J. Oper. Res., 21, 625-649.
[25] Rivaz, S., Yaghoobi, M.A. (2015) Some results in interval multiobjective linear programming for
recognizing different solutions. Opsearch., 52, 75-85.
[26] Rivaz, S., Yaghoobi, M.A., Haldik, M. (2015) Using modified maximum regret for finding a necessarily efficient solution in an interval MOLP problem. Fuzzy. Optim. Decis. Mak., 15, 237-253.
[27] Rivaz, S., Yaghoobi, M. A. (2018) Weighted sum of maximum regrets in an interval MOLP problem.
Int. Trans. Oper. Res., 25(5), 1659-1676.
[28] Sengupta, A., Pal, T. K. (1997) A-index for ordering interval numbers. Presented in Indian Science
Congress, Delhi University, January, 3-8.
[29] Sengupta, A., Pal, T.K. (2000) On comparing interval numbers. Eur. J. Oper. Rest., 127, 28-43.
[30] Sengupta, A., Pal, T.K. and Chakraborty, D. (2001) Interpretation of inequality constraints involving
interval coefficients and a solution to interval linear programming. Fuzzy. sets. syst., 119, 129-138.
[31] Sevastjanov, P., Róg, P., Karczewski, K. (2002) A probabilistic method for ordering group of intervals. Comput. Sci., 2(2), 45-53.
[32] Steuer, R. E. (1986) Multiple criteria optimization: Theory, Computation, and Application. John
Wiley & Song, New York.
[33] Tong, S. (1994) Interval number and fuzzy number linear programming. Fuzzy. Sets. Syst., 66, 301-
306.
[34] Urli, B., Nadeau, R. (1992) An interactive method to multiobjective linear programming problems
with interval coefficients. INFOR., 30, 127-137.
[35] Wu, H. C. (2009) The Karush-Kuhn-Tucker optimality conditions in multiobjective programming
problems with interval-valued objective function. Eur. J. Oper. Res., 196, 49-60
)