摘要
环境信息呈现多样性、动态性、复杂性等特征。将环境信息分为精确/模糊、快变/慢变、时间/空间和历史/期望四个维度。精确/模糊维度采用模糊逻辑理念,快变/慢变运用push/pull机制,并通过时间戳、两级本体模型以及反馈机制结合预测函数来实现时间/空间以及历史/期望维度,克服了环境信息质量模型中参数的不易测量性。结合实例,对精确/模糊维度的处理进行了仿真分析,表明了方案的可行性和有效性。
Context information presents a series of characteristics, such as diversity, dynamics, and complexity, the multi-di- mensional context-aware model in which context information is divided into accuracy/fuzzy, fast/slow, time/spatial and history/ future four dimensions is proposed. And accuracy/fuzzy and fast/slow dimensions are solved respectively by leveraging on fuzzy logic and push/pull mechanism, in respect of time/spatial and history/future, using time stamp, two-hierarchy ontology method and feedback along with predict function. Simulation analysis demonstrates the feasibility and effectiveness of the project.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第10期3682-3686,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(60902015)
国家科技重大专项基金项目(2011ZX03005-004-03)
关键词
环境信息
模糊逻辑
环境信息质量
多维度环境感知
context informatiom fuzzy logic
quality of context
multi-dimensional context-aware
