Diagnostic Problem-Solving Using Fuzzy Abductive Inference with Degress of Manifestations

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  • 症状の程度情報を利用したファジィ発想推論による診断問題の解法
  • ショウジョウ ノ テイド ジョウホウ オ リヨウシタ ファジィ ハッソウ スイ

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Abstract

Abduction is one of the methods of inference for creative thinking support systems or diagnosis support systems. Peng and Reggia proposed abductive inference based on associations between causes and effects for fault diagnosis. Their method had the advantages in the calculation cost for of explanations. They discussed the probabilistic relations between the disorders and the manifestations for the evaluation of the explanations. However, it is required for the real world fault / medical diagnosis to treat the degree of manifestation. There are cases where that the probability of the calculated explanation is low but its belief which is calculated based on the degress of manifestations is high. In this paper we propose a diagnostic problem-solving fuzzy abductive inference which can treat the degree of manifestation. This method can infer the combinations of disorders with their degress of belief using the degress of manifestations. This method provides the flexible description of the target system using the degress of disorders by linguistic labels and the necessary cause-and-effect relationships.

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