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基于粗糙集理论的武器系统效能评定
引用本文:高尚,韩斌,吴小俊,刘同明.基于粗糙集理论的武器系统效能评定[J].火力与指挥控制,2004,29(5):104-107.
作者姓名:高尚  韩斌  吴小俊  刘同明
作者单位:江苏科技大学,江苏,镇江,212003
摘    要:简述了各种武器效能评定方法。建立武器参数效能模型,首先要挑选特征参数,这里采用知识约简方法选择武器的特征参数。利用神经网络理论建立了参数效能模型,武器系统的效能与武器特征参数的关系可通过神经网络的阈值和权值得到体现。通过实例对神经网络法与指数法所得的结果进行了比较,结果表明神经网络法比指数法精确。

关 键 词:效能评定  Rough集  知识约简  神经网络
文章编号:1002-0640(2004)05-0104-04
修稿时间:2003年4月1日

Assessing the Effectiveness of Weapon System Based on Rough Set Theory
GAO Shang,HAN Bin,WU Xiao-jun,LIU Tong-ming.Assessing the Effectiveness of Weapon System Based on Rough Set Theory[J].Fire Control & Command Control,2004,29(5):104-107.
Authors:GAO Shang  HAN Bin  WU Xiao-jun  LIU Tong-ming
Abstract:In this paper,several methods for assessing the effectiveness of weapon system are discussed.How to select the character parameters of weapon system is the first place.The character parameters of weapon system are selected based on reduction of knowledge.A parameter effectiveness model is established by using neural network theory.The relationship among effectiveness with characteristic parameters is described through threshold and weight of neural networks.The method is illustrated through examples.The comparing results show that the neural network method is more accurate than the index method.
Keywords:effectiveness  rough set  reduction of knowledge  neural network
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