基于融合证据理论的动物疾病诊断模型的研究与实践

Research and Practice of a Diagnosis Model for Animal Disease Based on Fusion Evidence Theory

动物疾病诊断是一个复杂的过程,尤其对于不确定性疾病的诊断,可能导致诊断错误.该文基于融合证据理论,提出一种不确定性动物疾病诊断模型,能够融合多种症兆进行诊断,可有效地降低误诊率.通过对系统的原型实现证明,该模型误诊率低,能够在疾病诊断专家系统中广泛应用.

The diagnosis of animal diseases,especially uncertain diseases,is a complicated process,which may result in unnecessary losses.This paper presents a diagnosis model of animal diseases based on Fusion Evidence Theory.The model fuses multiple symptoms to decide the disease,and by such fusion it achieves low rate of misdiagnosis.Implementation of the prototype system proved that this model can be widely used in expert systems of disease diagnosis.