本学位论文对面向成套订单的流水作业和多目标排序问题做了一些基础性的研究。
This paper proposes a multi objective model to the coordinated planning of production and jobs delivery based on the whole set orders.
摘要：工程监理评标是在多目标多准则下，对多个待评价对象进行总分排序从优选择的过程。
Abstract: Engineering supervision evaluation is the process of selecting the optimal selection of multiple targets in the multi objective and multi criteria.
本文运用模糊数学的方法，提出一种单台机器多目标作业排序的算法。
Application of fuzzy mathematics method, this essay presents an algorithm to solve single machine sequencing problem with multiobjectives.
介绍了多目标攻击的目标分配和攻击排序的过程与算法，并用仿真验证了该算法的有效性。
The process and algorithm of target distribution and attack sequence in multi target attacking are introduced, and the validity of the algorithm is proved by simulation.
对基于方案优先序的多目标群决策问题给出了若干求解群排序的方法。
Several models are presented to MOGD based on the single decision-maker′s priority-ranking of alternatives.
给出了一种利用基点计算权重的多目标决策方法。该方法所需信息量小，并能获得满意的排序结果。
An approach to multiple objective decision making has been put forward. By using this method we get satisfactory results.
在资源的多目标限制下，本文引入基于理想点和负理想点的方法对路面的排序进行研究分析。
This paper analysises the sequence of the sections which need to be cured based on ideal point and negative ideal point method in the condition of multi-objective resource constraints.
本文以多目标决策的优化方法为基础，提出了多因素优化排序的相似矩阵法。
In this paper, based on the optimum method of multi-aim-strategy, the similar matrix method is proposed for the optimum ranging of more factors.
仿真结果表明，最大隶属度方法简单易于实现，能有效解决多机多目标协同空战中的目标威胁排序问题。
Simulation results show that the maximum membership degree method is simple and can effectively implement threat level sequencing of the targets in multi-aircraft, multi-target cooperative air combat.
方法TOPSIS方法是多目标决策分析中一种常用的有效方法，其基本原理是通过计算评价对象与理想化目标的距离来进行优劣排序。
Methods Using multi-object TOPSIS methods, through calculating distance between evaluation objects and idealization objects, this article has a good and bad sequencing.
方法TOPSIS方法是多目标决策分析中一种常用的有效方法，其基本原理是通过计算评价对象与理想化目标的距离来进行优劣排序。
Methods Using multi-object TOPSIS methods, through calculating distance between evaluation objects and idealization objects, this article has a good and bad sequencing.
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