References
- Shalabh S., and Sonia. Multi-choice programming: an overview of theories and applications. Optimization. 2017;66:1713–1738, doi: 10.1080/02331934.2017.1339704
- Chang CT. Multi-choice goal programming. Omega (Westport). 2007;35(4):389–396.
- Liao CN. Formulating the multi-segment goal programming. Comput Ind Eng. 2009;56(1):138–141.
- Chang CT. Revised multi-choice goal programming. Appl Math Model. 2008;32(12):2587–2595.
- Chang CT. Multi-choice goal programming with utility functions. Eur J Oper Res. 2011;215(2):439–445.
- Acharya S, Nanda S, Mishra B. Solving multi-choice linear goal programming problem with preemptive priorities. OMS. 2011;30:52–70.
- Chang CT, Chen HM, Zhuang ZY. Multi-coefficients goal programming. Comput Ind Eng. 2012;62(2):616–623.
- Ustun O. Multi-choice goal programming formulation based on the conic scalarizing function. Appl Math Model. 2012;36(3):974–988.
- Chang CT, Chen HM, Zhuang ZY. Revised multi-segment goal programming: percentage goal programming. Comput Ind Eng. 2012;63(4):1235–1242.
- Pradhan A, Biswal MP. Multi-choice probabilistic linear programming problem. OPSEARCH. 2017;54:122. doi:10.1007/s12597-016-0272-7.
- Maiti SK, Roy SK. Multi-choice stochastic bi-level programming problem in cooperative nature via fuzzy programming approach. J Ind Eng Int. 2016;12(3):287–298.
- Tabrizi BB, Shahanaghi K, Jabalameli MS. Fuzzy multi-choice goal programming. Appl Math Model. 2012;36:1415–1420.
- Zimmerman HJ. Fuzzy programming and linear programming with several objective function. Fuzzy set and System. 1978;1:45–55.
- Aggarwal S, Sharma U. Fully fuzzy multi-choice multi-objective linear programming solution via deviation degree. Int. J. Pure Appl. Sci. Technol. 2013;19(1):49–64.
- Ramzannia-Keshteli GH, Nasseri SH. A multi-parametric approach to solve flexible fuzzy multi-choice goal programming. Punjab Univ J Math. 2019;51(12):93–108.
- Mahapatra DR, Roy SK, Biswal MP. Multi-choice stochastic transportation problem involving extreme value distribution. Appl Math Model. 2013;37(4):2230–2240.
- Mahapatra DR. Multi-choice stochastic transportation problem involving weibull distribution. Int J Optim Control Theor Appl. 2014;4(1):45–55.
- Roy SK, Mahapatra DR. Solving solid transportation problems with multi-choice cost and stochastic supply and demand. Int J Strateg Decis Sci. 2014;5(3):1–26.
- Roy SK. Transportation problem with multi-choice cost and demand and stochastic supply. J. Oper. Res. Soc. China. 2016;4:193–204. doi:10.1007/s40305-016-0125-3.
- Al Qahtani H, ElHefnawy A, ElAshram M, et al. A goal programming approach to multichoice multiobjective stochastic transportation problems with extreme value distribution. Adv Oper Res. 2019;2019:1–6.
- Nasseri SH, Bavandi S. Fuzzy stochastic linear fractional programming based on fuzzy mathematical programming. Fuzzy Inf Eng. 2018;10:324–338.
- Nematian J. A new method for multi-objective linear programming models with fuzzy random variables. J Uncertain Syst 2012;201(1):38–50.
- Puri ML, Ralescu DA. Fuzzy random variables. J Math Anal Appl. 1986;114:409–422.
- Wang GY, Zhong Q. Linear programming with fuzzy random variable coefficients. Fuzzy Sets Syst. 1993;3:295–311.
- Wang GY, Zang Y. The theory of fuzzy stochastic processes. Fuzzy Sets Syst. 1992;51:161–178.
- Eshghi K, Nematian J. Special classes of mathematical programming models with fuzzy random variables. J Intell Fuzzy Syst. 2008;2:131–140.
- Eshghi K, Nematian J. Special classes of fuzzy integer programming models with all-different constraints, SCIENTIA IRANICA. Trans E: Ind Eng. 2009;1:1–10.
- Pradhan A, Biswal MP. Multi-choice probabilistic linear programming problem. OPSEARCH. 2016;54:122–142.