In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have been applied to form a single...
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In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have been applied to form a single objective function from the fuzzy multi-objective linear programming problems. At first, a numerical example of solving fuzzy multi-objective linear programming problem has been provided to validate the maximum risk reduction by the proposed method. The proposed method has been applied to assess the risk of damage due to natural calamities like flood, cyclone, sidor, and storms at the coastal areas in Bangladesh. The proposed method of solving the fuzzy multi-objective linear programming problems by the statistical method has been compared with the Chandra Sen’s method. The numerical results show that the proposed method maximizes the risk reduction capacity better than Chandra Sen’s method.
For a fuzzy multi-objective linear programming problem, we propose a substitute problem. The problem is given as the minimization problem, the objective function of which is the distance between the l-ary restricted a...
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For a fuzzy multi-objective linear programming problem, we propose a substitute problem. The problem is given as the minimization problem, the objective function of which is the distance between the l-ary restricted alpha-optimal values at each alpha-optimal solutions (Kuwano et al., 1994) and l-ary objective functions with fuzzy parameters.
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