Based on partial preference information (i. e. weight), this paper presents a linear programming algorithm for multi objective decision making.
基于部分偏好信息(目标权重)，本文提出了多目标决策的一种线性规划算法。
Mathematical models that use linear, nonlinear, dynamic, integer, or multi-objective programming algorithms.
数学模型，如利用线性、非线性、动态、整数或多目标编程算法。
Linear programming with fuzzy-numbered Cost Coefficients, include of Single-objective and Multi-objective problems, is a important content in fuzzy decision makings.
目标中含有模糊系数的线性规划，是模糊决策的一个重要内容。
By linear weighing-sum method, the multi-objective optimization was converted into a linear programming problem with the evaluation equation. Process parameters were optimized with SQP algorithm.
利用线性加权和法，建立了评价函数，将多目标优化问题转化为单目标非线性规划问题。
By linear weighing-sum method, the multi-objective optimization was converted into a linear programming problem with the evaluation equation. Process parameters were optimized with SQP algorithm.
利用线性加权和法，建立了评价函数，将多目标优化问题转化为单目标非线性规划问题。
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