Cheng HFHuang WLZhou QCai JH1/06/20131/06/2013Applied Mathematical Modelling, 2013, 37 (10-11), pp. 6855 - 68690307-904Xhttps://hdl.handle.net/10179/13235This paper proposes a method for solving fuzzy multi-objective linear programming (FMOLP) problems where all the coefficients are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. Using the deviation degree measures and weighted max–min method, the FMOLP problem is transformed into crisp linear programming (CLP) problem. If decision makers fix the values of deviation degrees of two side fuzzy numbers in each constraint, then the δ-pareto-optimal solution of the FMOLP problems can be obtained by solving the CLP problem. The bigger the values of the deviation degrees are, the better the objectives function values will be. So we also propose an algorithm to find a balance-pareto-optimal solution between two goals in conflict: to improve the objectives function values and to decrease the values of the deviation degrees. Finally, to illustrate our method, we solve a numerical example.6855 - 6869Fuzzy multi-objective linear programmingFuzzy constraintsTriangular fuzzy numbersDeviation degreeWeighted max–min methodJournal article10.1016/j.apm.2013.01.048282459Massey_Dark0102 Applied Mathematics0103 Numerical and Computational Mathematics0801 Artificial Intelligence and Image Processing