Then, the fuzzy set-covering model is transformed to a 0-1 integer planning problem through fuzzy set operation and operator transformation.
通过模糊集合运算与算子变换把模糊数学模型最终转化为一个0-1整数规划问题。
The static planning constructs the mixed integer programming model . A branch exchange technique based on the change base of linear programming solves the model effectively.
静态规划建立了混合整数规划模型，利用基于线性规划换基运算的支路交换法有效地求解该模型。
The model was transformed into a deterministic mixed integer linear planning(MILP) model by converting fuzzy chance constraints to their respective crisp equivalents.
通过把模型中模糊机会约束清晰化，将模型转化为确定性的混合整数规划模型。
The model was transformed into a deterministic mixed integer linear planning(MILP) model by converting fuzzy chance constraints to their respective crisp equivalents.
通过把模型中模糊机会约束清晰化，将模型转化为确定性的混合整数规划模型。
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