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固体运载火箭多级组合优选多属性评价方法 被引量:2

Multi-Attribute Evaluation Method for Multi-Stage Combined Optimization of Solid Rocket
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摘要 为解决固体运载火箭多级组合设计时多指标、多属性、多方案导致的方案优选和评价耗时长、效率低的问题,提出一种基于信息熵概念和变权综合原理相结合的逼近于理想排序(TOPSIS)多属性评价方法,通过构造折衷型状态变权向量,建立固体运载火箭多级组合方案优选评价模型,并开展固体运载火箭多级动力组合评价、方案排序优选等研究工作。经实例分析表明,信息熵变权综合TOPSIS方法能够有效解决固体运载火箭多级组合方案评估、排序与优选问题,达到快速设计的目的,与传统优化方法相比,具有快速、灵活和高效的优点。 In order to solve the problem of time consuming,low accuracy and low efficiency in scheme optimization and evaluation of solid rocket multi-stage combined design with multiple indexes,multiple attributes and multiple schemes,a multi-attribute evaluation method of technique for order preference by similarity to ideal solution( TOPSIS) is introduced on the basis of the concept of information entropy and the principle of variable weight synthesis. An evaluation model of solid rocket multi-stage combined scheme optimization is established by the information entropy theory of the variable weight synthesizing and compromise state variable weight vector. The combined schemes of solid rocket are evaluated,sorted and selected. The example shows that the information entropy weight TOPSIS method can effectively solve the problem of solid rocket multi-stage combined scheme evaluation,sorting and selection. The method can achieve the purpose of rapid design.Compared with the traditional optimization method,it has the advantages of fast,flexible and reliable.
出处 《宇航学报》 EI CAS CSCD 北大核心 2017年第2期115-122,共8页 Journal of Astronautics
关键词 信息熵 变权综合 逼近于理想排序(TOPSIS) 固体运载火箭 多级组合 优选 Information entropy Variable weight synthesis Technique for order preference by similarity to ideal solution(TOPSIS) Solid rocket Multi-stage combination Optimization
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