一种基于模糊集和概率分布的不确定XML模型及其代数运算

XML作为一种信息表示和交换的事实标准已被广泛用作不同应用之间的统一数据交换格式,其在实际应用中已经发挥着重要的作用。由于现实中很多信息包含有不确定性,而经典的XML不能表示和处理不确定信息,因此有必要对经典XML模型进行扩展。考虑到现实世界的复杂性,不确定信息往往同时包含有随机不确定性和模糊不确定,而概率理论和模糊集理论是处理不确定信息的有力工具,因此文中在现有的模糊XML和概率XML数据模型的基础上,综合利用概率和模糊理论建立一个新的不确定XML模型和相关代数,所提出的新的不确定性XML模型既能与现有的XML模型兼容,又能表达更复杂的不确定信息。

Uncertain XML Model Based on Fuzzy Sets and Probability Distribution and Its Algebraic Operations

As a de-facto standard of information representation and exchange,XML has been widely used as a unified data exchange format between different applications,which has played an important role in real-world applications.However,the real world is filled with uncertain information and classical XML is not able to represent and deal with uncertain data.So it is necessary to extend classical XML model.The real world is complex,which often contains both random and fuzzy uncertainties.Conside-ring that probability theory and fuzzy set theory are powerful tools for dealing with uncertainty,this paper uses both probability theory and fuzzy set theory to build a new uncertain XML model,which is different from the existing fuzzy XML models and probabilistic XML models.The new uncertain XML model is compatible with existing XML models and can represent more complex uncertain information.