摘要
现有的确定检索算法不能控制图形数据库中查询对象的范围和行为,更不能解决对象的精确查询问题。为了解决这个问题,提出了面向对象的不确定检索方法。对检索对象建立了模糊层次对象树,给出了非线性模糊因子计算公式,设计了模糊对象检索算法。检索过程中用概念化的模型组织数据,用不确定的特征去检索数据,有效地控制了查询时对象的范围和行为,实现了对象的精确查询。
The certainty retrieval approach can not control the range of a query with regard to objects and their behaviors of the content-based graphics database, and cannot do precise queries of object behavior of it too now. To resolve this question, we has developed an object-oriented approach with uncertain features to graphic database retrieval. Based on the establish of the fuzzy hierarchy obiect tree, we design a function with a fuzzy factor to establish the fuzzy object retrieval algorithm, the function is :f(N(i))=l. 0-(m^k-i^k) / (m^k + 1) o We organize the data through conceptual model; retrieve data through uncertainty features. Applying this approach, we can not only control the range of a query with regard to objects and their behaviors effectively, but also can do precise queries of object behavior.
出处
《电子器件》
CAS
2005年第4期875-877,共3页
Chinese Journal of Electron Devices
基金
国家自然科学基金项目资助(620276042)