Satisfactory solution concepts and their relations for Stochastic Multiobjective Programming problems
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DOI: 10.1016/j.ejor.2012.01.052
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Cited by:
- Mingfa Zheng & Yuan Yi & Zutong Wang & Tianjun Liao, 2017. "Relations among efficient solutions in uncertain multiobjective programming," Fuzzy Optimization and Decision Making, Springer, vol. 16(3), pages 329-357, September.
- Eltoukhy, Abdelrahman E.E. & Wang, Z.X. & Chan, Felix T.S. & Fu, X., 2019. "Data analytics in managing aircraft routing and maintenance staffing with price competition by a Stackelberg-Nash game model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 143-168.
- M. S. Osman & A. M. Abd Elazeem & M. A. Elsisy & M. M. Rashwan, 2018. "Duality in the fuzzy-parametric space for fuzzy-parametric nonlinear programming problem," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 662-676, November.
- Fouad Ben Abdelaziz & Cinzia Colapinto & Davide La Torre & Danilo Liuzzi, 2020. "A stochastic dynamic multiobjective model for sustainable decision making," Annals of Operations Research, Springer, vol. 293(2), pages 539-556, October.
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Keywords
Stochastic Programming; Multiple Objective Programming; Goal Programming; Decision-maker’s preferences; Satisfactory solution; Probabilistic goal;All these keywords.
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