摘要
针对领域模糊信息对C4ISR体系结构分析中服务建模和发现所带来的不利影响,提出了基于模糊推理的C4ISR系统服务发现方法。从体系结构服务相关概念出发,构建C4ISR特定领域的服务模糊本体,在模糊本体的引导下,获取现实系统面向服务的体系结构需求。在此基础上,借助模糊描述逻辑的本体形式化和推理技术发现满足用户要求的系统服务。分析结果表明,该方法不仅可以解决领域模糊信息的建模表示问题,而且能够在有效的时间内为用户提供准确的服务查询结果。
Constrained by the imprecise and uncertain domain knowledge,the service modeling and discovery of C4ISR architecture requirements analysis is a hard work.An approach for C4ISR system service discovery based on fuzzy reasoning was proposed.It suggests that C4ISR requirements elicitation be initiated with building the domain specific service fuzzy ontology according to the Meta Model of DoDAF.With the help of the fuzzy ontology,engineers can reuse the domain knowledge to capture the service oriented architecture requirements of the to-be system.As a result,the C4ISR SOA requirements can be precisely described in Fuzzy Description Logic,which enables a service fuzzy discovery covering the function and quality of service.A detailed analysis demonstrates that the more appropriate result of service discovery will be obtained for the user in a reasonable time.
出处
《解放军理工大学学报(自然科学版)》
EI
北大核心
2011年第4期334-340,共7页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家863计划资助项目(2007AA01Z126)
关键词
模糊推理
服务发现
模糊本体
模糊描述逻辑
fuzzy reasoning
service discovery
fuzzy ontology
fuzzy description logic