针对传统证据理论用于目标识别时基本概率指派(basic probability assignment,BPA)难以确定的问题,提出一种基于灰色关联度的改进的证据理论并将其用于空袭目标识别。即通过对获取信息与参考模式的灰色关联度进行折衷归一化,确定证据对...针对传统证据理论用于目标识别时基本概率指派(basic probability assignment,BPA)难以确定的问题,提出一种基于灰色关联度的改进的证据理论并将其用于空袭目标识别。即通过对获取信息与参考模式的灰色关联度进行折衷归一化,确定证据对空袭目标集的BPA,进而使用证据合成规则对传感器获取信息进行融合得到目标识别结果。实例证明了此方法的有效性。展开更多
In order to investigate the enhancement of data privacy by distributing data packets via multiple paths, this paper fommlates a security model and analyzes the privacy problem in mul- tipath scenarios leveraging infor...In order to investigate the enhancement of data privacy by distributing data packets via multiple paths, this paper fommlates a security model and analyzes the privacy problem in mul- tipath scenarios leveraging inforrmtion theoretic concept. Based on proposed model, a privacy function related to the path number is discussed. We heuristically recommend the optin^al path num- ber and analyze the tradeoff among the perform- ance, resource consumption and privacy. For re- ducing the inforlmtion leakage, the data schedule algorithms are also proposed. The analytical model can provide guidelines for the multipath protocol design.展开更多
Facility location allocation(FLA) is one of the important issues in the logistics and transportation fields. In practice, since customer demands, allocations, and even locations of customers and facilities are usually...Facility location allocation(FLA) is one of the important issues in the logistics and transportation fields. In practice, since customer demands, allocations, and even locations of customers and facilities are usually changing, the FLA problem features uncertainty. To account for this uncertainty, some researchers have addressed the fuzzy profit and cost issues of FLA. However, a decision-maker needs to reach a specific profit, minimizing the cost to target customers. To handle this issue it is essential to propose an effective fuzzy cost-profit tradeoff approach of FLA. Moreover, some regional constraints can greatly influence FLA. By taking a vehicle inspection station as a typical automotive service enterprise example, and combined with the credibility measure of fuzzy set theory, this work presents new fuzzy cost-profit tradeoff FLA models with regional constraints. A hybrid algorithm integrating fuzzy simulation and genetic algorithms(GA) is proposed to solve the proposed models. Some numerical examples are given to illustrate the proposed models and the effectiveness of the proposed algorithm.展开更多
文摘针对传统证据理论用于目标识别时基本概率指派(basic probability assignment,BPA)难以确定的问题,提出一种基于灰色关联度的改进的证据理论并将其用于空袭目标识别。即通过对获取信息与参考模式的灰色关联度进行折衷归一化,确定证据对空袭目标集的BPA,进而使用证据合成规则对传感器获取信息进行融合得到目标识别结果。实例证明了此方法的有效性。
基金This paper was partially supported by the National Basic Re-search Program of China under Grant No. 2007CB307100 the National Natural Science Foundation of China under Crant No 60972010 the Fundamental Research Funds for the Central U- niversities under Grant No. 2011JBM018.
文摘In order to investigate the enhancement of data privacy by distributing data packets via multiple paths, this paper fommlates a security model and analyzes the privacy problem in mul- tipath scenarios leveraging inforrmtion theoretic concept. Based on proposed model, a privacy function related to the path number is discussed. We heuristically recommend the optin^al path num- ber and analyze the tradeoff among the perform- ance, resource consumption and privacy. For re- ducing the inforlmtion leakage, the data schedule algorithms are also proposed. The analytical model can provide guidelines for the multipath protocol design.
基金Project supported by the Fundamental Research Funds for the Central Universities(No.2572014BB08)the National Natural Science Foundation of China(Nos.51405075,61304182,71371141,and 71001080)
文摘Facility location allocation(FLA) is one of the important issues in the logistics and transportation fields. In practice, since customer demands, allocations, and even locations of customers and facilities are usually changing, the FLA problem features uncertainty. To account for this uncertainty, some researchers have addressed the fuzzy profit and cost issues of FLA. However, a decision-maker needs to reach a specific profit, minimizing the cost to target customers. To handle this issue it is essential to propose an effective fuzzy cost-profit tradeoff approach of FLA. Moreover, some regional constraints can greatly influence FLA. By taking a vehicle inspection station as a typical automotive service enterprise example, and combined with the credibility measure of fuzzy set theory, this work presents new fuzzy cost-profit tradeoff FLA models with regional constraints. A hybrid algorithm integrating fuzzy simulation and genetic algorithms(GA) is proposed to solve the proposed models. Some numerical examples are given to illustrate the proposed models and the effectiveness of the proposed algorithm.
