Radar anti-jamming performance evaluation is a necessary link in the process of radar development,introduction and equipment. The applications of generalized rough set theory are proposed and discussed in this paper t...Radar anti-jamming performance evaluation is a necessary link in the process of radar development,introduction and equipment. The applications of generalized rough set theory are proposed and discussed in this paper to address the problems of big data, incomplete data and redundant data in the construction of evaluation index system. Firstly, a mass of real-valued data is converted to some interval-valued data to avoid an unacceptable number of equivalence classes and classification rules, and the interval similarity relation is employed to make classifications of this interval-valued data. Meanwhile, incomplete data can be solved by a new definition of the connection degree tolerance relation for both interval-valued data and single-valued data, which makes a better description of rough set than the traditional limited tolerance relation. Then, E-condition entropy-based heuristic algorithm is applied to making attribute reduction to optimize the evaluation index system, and final decision rules can be extracted for system evaluation. Finally, the feasibility and advantage of the proposed methods are testified by a real example of radar anti-jamming performance evaluation.展开更多
服务因其灵活的应用机制,逐渐成为软件开发过程中的主要载体.面对网络中涌现出的大量功能相同或相似而QoS(quality of service)不同的服务群体,如何快速、准确地定位到所需要的服务个体,仍是一项十分具有挑战性的工作.基于服务对功能的...服务因其灵活的应用机制,逐渐成为软件开发过程中的主要载体.面对网络中涌现出的大量功能相同或相似而QoS(quality of service)不同的服务群体,如何快速、准确地定位到所需要的服务个体,仍是一项十分具有挑战性的工作.基于服务对功能的封装特性,提出一种基于服务功能规约的服务选择方法,将功能相关的抽象服务规约为一个粒度更大的服务级的抽象服务;然后,针对规约后的大粒度抽象服务完成服务发现和组合优化的过程.由于规约操作能够有效减少参与服务组合优化的抽象服务的个数以及相应的候选服务的个数,从而使算法的执行效率得到有效提升.实验结果表明:该算法与传统的启发式算法相比执行效率更高,并且对服务组合规模及候选服务规模表现出更好的扩展性.展开更多
基金the Opening Project of the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(No.CEMEE2014K0301A)
文摘Radar anti-jamming performance evaluation is a necessary link in the process of radar development,introduction and equipment. The applications of generalized rough set theory are proposed and discussed in this paper to address the problems of big data, incomplete data and redundant data in the construction of evaluation index system. Firstly, a mass of real-valued data is converted to some interval-valued data to avoid an unacceptable number of equivalence classes and classification rules, and the interval similarity relation is employed to make classifications of this interval-valued data. Meanwhile, incomplete data can be solved by a new definition of the connection degree tolerance relation for both interval-valued data and single-valued data, which makes a better description of rough set than the traditional limited tolerance relation. Then, E-condition entropy-based heuristic algorithm is applied to making attribute reduction to optimize the evaluation index system, and final decision rules can be extracted for system evaluation. Finally, the feasibility and advantage of the proposed methods are testified by a real example of radar anti-jamming performance evaluation.
文摘服务因其灵活的应用机制,逐渐成为软件开发过程中的主要载体.面对网络中涌现出的大量功能相同或相似而QoS(quality of service)不同的服务群体,如何快速、准确地定位到所需要的服务个体,仍是一项十分具有挑战性的工作.基于服务对功能的封装特性,提出一种基于服务功能规约的服务选择方法,将功能相关的抽象服务规约为一个粒度更大的服务级的抽象服务;然后,针对规约后的大粒度抽象服务完成服务发现和组合优化的过程.由于规约操作能够有效减少参与服务组合优化的抽象服务的个数以及相应的候选服务的个数,从而使算法的执行效率得到有效提升.实验结果表明:该算法与传统的启发式算法相比执行效率更高,并且对服务组合规模及候选服务规模表现出更好的扩展性.
