Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (15): 240-243.

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Model of differentiation of syndromes in TCM using D-S evidence fusion

LI Sihai1, LV Xiaoyun2   

  1. 1.School of Information Engineering, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China
    2.Institute of Integrated Traditional and Western Medicine, Lanzhou University, Lanzhou 730000, China
  • Online:2014-08-01 Published:2014-08-04

D-S证据融合的中医辨证模型

李四海1,吕晓云2   

  1. 1.甘肃中医学院 信息工程学院,兰州 730000
    2.兰州大学 中西医结合研究所,兰州 730000

Abstract: Aiming to improve the accuracy and flexibility of uncertainty reasoning in TCM differentiation, a model of differentiation of syndromes in TCM is presented based on D-S theory. This model uses group decision-making to realize evidence fusion by means of the symptom factors as discernment frame and the result of expert diagnosing as basic belief assignment. The proposed model can reduce system uncertainty and improve both accuracy and reliability. A coronary heart diagnosis example is given to illustrate the effectiveness of the model.

Key words: Dempster-Shafer theory, evidence fusion, symptom factors, Traditional Chinese Medicine(TCM) syndrome, expert system

摘要: 为提高传统不确定性推理在中医辨证中的准确率和灵活性,提出了基于D-S证据理论的中医辨证模型。模型采用群决策理论,以证素为识别框架,以不同专家的诊断结果为基本可信度分配,对专家的诊断结果进行证据融合,模型能够降低系统的不确定性,提高证素诊断的准确率和可信度。以冠心病的中医诊断为例,验证了模型的有效性。

关键词: D-S理论, 证据融合, 证素, 中医证侯, 专家系统