计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 210700122-7.doi: 10.11896/jsjkx.210700122
邢庆华, 许宏吉, 刘强, 樊士迪, 李恬阔, 陈敏
XING Qing-hua, XU Hong-ji, LIU Qiang, FAN Shi-di, LI Tian-kuo, CHEN Min
摘要： 在情景感知计算(Context Aware Computing,CAC)的研究与应用过程中,不可避免地会遇到情景信息的不确定性问题。而情景信息不一致性是不确定性问题中最难解决的突出问题,因此如何合理、有效地处理情景信息的不一致性尤为重要。针对情景信息不一致性问题,提出了一种基于集对分析(Set Pair Analysis,SPA)和情景信息综合质量指标(Quality of Comprehensive IndeXes,QoX)的不一致性消除算法,其使用QoX对情景信息综合质量进行度量和评估,提高了情景信息综合质量度量的完整性和精确性;同时,该算法使用SPA对所求质量指标从同一度、对立度、差异度3个方面进行定量分析,从而保证情景信息质量计算过程所考虑的因素更为全面。实验结果表明,相比传统的不一致性处理算法,所提算法的判决正确率有明显提升。
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