基于粗糙集的战教比例优化聚类决策模型应用  

Application Research on Cluster Decision-Making Model of Training and War Preparedness Proportion Optimizing Based on RoughSet

作　　者：梅国建[1] 钟波[1] 赵中凯[1] 李洪广[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《火力与指挥控制》2014年第2期90-93,共4页Fire Control & Command Control

摘　　要：针对现行装甲装备战教比例标准下部队战备和训练任务之间的矛盾和问题,提出了基于粗糙集的K-means聚类分析的战教比例优化决策模型,利用粗糙集的属性约简算法消除冗余属性,根据各属性重要度确定其指标权值,然后依据分析所得优化决策方案及其影响指标加权数据值,以欧式距离为准则进行定中心K-means聚类。实例分析结果验证了该优化决策模型对于战教比例优化具有较好适应性和科学性。Aiming at the contradiction between army＇s combat readiness and training task under the current standard,a kind of optimization and decision K-means clustering model for the proportion of training and war preparedness is put forward based on the rough set theory. This model utilizes the reduction algorithm in rough set to eliminate redundant property and the important of tributes to confirm the weight, then carries on the cluster analyzing depended on the optimizing scheme and the index data. The adaptability and scientific of this model are proved by instance analysis.

关 键 词：粗糙集 K—means聚类 战教比例 优化决策 

分 类 号：E917[军事]