Computer Science ›› 2020, Vol. 47 ›› Issue (7): 21-30.doi: 10.11896/jsjkx.190700164

• Computer Science Theory • Previous Articles     Next Articles

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

HU Lei, YAN Li   

  1. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China
  • Received:2019-07-23 Online:2020-07-15 Published:2020-07-16
  • About author:HU Lei,born in 1993,postgraduate.His main research interests include data and knowledge engineering.
    YAN Li,born in 1964,Ph.D,professor,is a member of China Computer Federation.Her main research interests include data and knowledge engineering.
  • Supported by:
    This work was supported by the Open Fund of Graduate Innovation Base (Laboratory) of Nanjing University of Aeronautics and Astronautics (kfjj20181601)

Abstract: 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.

Key words: Algebraic operation, Fuzzy set, Probability distribution, Uncertain data model, XML model

CLC Number: 

  • TP311.131
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