摘要
为克服传统的单一评价指标区域选择准则容易导致评价结果不全面的缺陷,提出一种基于模糊决策理论的多指标综合选择准则.该准则结合信息熵和模糊决策理论,综合考虑地形高度标准差、高度熵、粗糙度及其相关系数等反映特定地域内地形的总体起伏、信息量多少、光滑度和相关性强弱的地形参数对地形区域选择的影响,求解出指标的隶属度矩阵和权值,给出区域总的评价指数.仿真结果表明,在评价指标高的区域进行地形辅助导航,其匹配误差将更小.
A multi-index comprehensive selection criteria combining fuzzy decision theory with information entropy was developed to overcome the disadvantage of one-sided appraisal for traditional selection criteria with simple index. The effects of terrain parameters such as standard deviation, entropy, roughness and correlation which reflect respectively the terrain global wave, amount of information, smoothness and degree of correlation on terrain area selection were considered comprehensively. The index membership grade matrix and weight were determined, and the total evaluating indicator is given. Simulation results indicate that the matching error is smaller for terrain aided navigation in high evaluating indicator area.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2009年第1期5-8,共4页
Journal of Dalian Maritime University
基金
国防"九七三"项目(973-61334)
国家自然科学基金资助项目(50575042)
"十一五"总装备部预研项目(51309060402
51309020503)
教育部博士点专项科研基金资助项目(20050286026)
关键词
地形辅助导航
匹配区域
导航信息量
模糊决策
terrain aided navigation
matching field
navigation information
fuzzy decision
