A chance-constrained fuzzy goal program
Fuzzy Sets and Systems
On fuzzy random linear programming
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Computers & Mathematics with Applications
An improved MOCC with feedback control structure based on preference
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A possibility programming approach for stochastic fuzzy multiobjective linear fractional programs
Computers & Mathematics with Applications
Sensitivity analysis in fuzzy number linear programming problems
Mathematical and Computer Modelling: An International Journal
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In this paper, a stochastic fuzzy linear multiobjective programming problem is introduced and transformed to a stochastic fuzzy linear programming problem by utilizing a suggested approach of weighted objective function. In each objective, the given weight as well as the coefficients are considered fuzzy numbers with similar or different types. In each constraint, the right-hand side is a random variable with known distribution function while both the left-hand side coefficients and the tolerance measures are considered fuzzy numbers with similar or different types. Also, all random variables are considered independent. Therefore, the chance-constrained approach with different dominance criteria is used to transform the stochastic fuzzy linear multiobjective programming problem to its equivalent deterministic-crisp linear programming problem. A comparison between different dominance criteria is illustrated by a numerical example.