Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (11A): 210700122-7.doi: 10.11896/jsjkx.210700122

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Inconsistency Elimination Algorithm Based on SPA and QoX

XING Qing-hua, XU Hong-ji, LIU Qiang, FAN Shi-di, LI Tian-kuo, CHEN Min   

  1. School of Information Science and Engineering,Shandong University,Qingdao,Shandong 266237,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:XING Qing-hua,born in 1995,postgra-duate.His main research interests include machine learning,ubiquitous computing,quality of context and context-aware computing.
    XU Hong-ji,born in 1976,Ph.D,asso-ciate professor.His main research inte-rests include wireless communications,ubiquitous computing,intelligent perception,blind signal processing and artificial intelligence.
  • Supported by:
    Natural Science Foundation of Shandong Province,China(ZR2020MF139) and National Key Research and Deve-lopment Program of China(2022YFC3302800).

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Abstract: In the research and application of context-aware computing(CAC),it is inevitable to face the problems of uncertainty for context information.Context inconsistency is the most difficult problem to solve in the uncertainty problems.How to deal with context inconsistency reasonably and effectively is an important problem that must be solved.In this paper,a new inconsis-tency elimination algorithm based on set pair analysis(SPA) and quality of comprehensive indexes(QoX) is proposed to solve the inconsistency problem.The algorithm uses some parameters of QoX to evaluate the overall quality of contexts collected by the context sources,which improves the completeness and accuracy of the evaluation of overall quality of context.In addition,the algorithm uses SPA to quantitatively analyze the quality index from the similarity,opposition and difference,and takes into account the comprehensiveness in the calculation process of quality of context.Experimental results show that the proposed algorithm has higher accuracy than traditional processing algorithms.

Key words: QoX, Set pair analysis, Context-aware, Context inconsistency elimination

CLC Number: 

  • TP391
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