直觉模糊混合理论及其在弹道目标识别中的应用研究

项目名称： 直觉模糊混合理论及其在弹道目标识别中的应用研究

项目编号： No.61272011

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 雷英杰

作者单位： 中国人民解放军空军工程大学

项目金额： 60万元

中文摘要： 直觉模糊集(IFS)是对Zadeh模糊集的重要扩充和发展,具有良好的结合性。IFS理论与相关理论相融合是开辟和发展新的不确定信息处理方法的重要途径之一。针对求解弹道目标识别这一典型的不确定性难题,深入研究直觉模糊混合理论及其在弹道目标识别中的应用问题。通过研究IFS理论与时间序列分析理论、与Petri网理论、与核匹配追踪(KMP)理论的融合机理，探索发现IFS理论的融合规律及公理；通过研究直觉模糊时间序列分析理论、直觉模糊Petri网理论、直觉模糊KMP理论，寻求发展直觉模糊混合理论求解不确定性问题的信息处理方法；通过突破直觉模糊混合理论在弹道目标识别中的应用等关键问题,得出有效的基于直觉模糊时间序列分析理论、基于直觉模糊Petri网理论、基于直觉模糊KMP理论的弹道目标识别方法。本项目的开展及其预期研究成果，对于提升我国防空反导和战略预警能力具有十分重要的理论意义和实用价值。

中文关键词： 计算智能；直觉模糊集；信息融合；目标识别；

英文摘要： Intuitionistic Fuzzy Sets (IFS) is an important extension and evolution of Zadeh fuzzy sets, and IFS theory is with good properties of combinableness. IFS theory syncretized with relational theories is one of the approaches to inauguration and evalution of novel kinds of methods for information processing with uncertainty. To the typical problem of targets recognition of ballistic missiles with uncertainty, we will conduct an into investigation in intuitionistic fuzzy hybrid theories and their applications in ballistic target recognition (BTR). By carrying on an investigation into the syncretized problems of IFS theory combined with time series analysis (TSA) theory, and with Petri net theory, and with kernel matching pursuit (KMP) theory, we will explore or discover the syncretized rules and axioms of IFS theory with relational theories. By carrying on an investigation into intuitionistic fuzzy time series analysis (TSA) theory,intuitionistic fuzzy Petri net (IFPN) and theory intuitionistic fuzzy KMP theory, we will seek for evolution of methods of information processing for solving problems with uncertainty based on intuitionistic fuzzy hybrid theories. By carrying on breaking through the key problems of applications of intuitionistic fuzzy hybrid theories in ballistic target recognition (BTR), we would educe

英文关键词： Computional Intelligence；Intuitionistic Fuzzy Sets；Information Fusion；Target Reconition；