模糊中醫實證證候辨證;Fuzzy Excess Syndrome Differentiation in Traditional Chinese Medicine

[[abstract]]中醫辨證根據望，聞，問，切四診所蒐集的病人症狀，辨識病人的證候，即疾病的病因、病位及病性。中醫辨證是一個模糊分類問題。本論文運用計算機龐大的記憶能力及迅速的分析能力，研製一個基於模糊理論的中醫實證證候辨證系統。本論文先依據五本中醫診斷學典籍，歸納整理出47個中醫實證證候及其特徵症狀。本論文再運用模糊理論的歸屬函數，將證候的特徵症狀分為病因症狀、病位症狀、舌診症狀、及脈診症狀四個群組，進行模糊分類。我們也使用10個台灣期刊上的病例報告進行初步的系統評估，評估結果顯示辨證系統和病例報告的辨證結果吻合度相當高。關鍵詞: 中醫辨證系統; 中醫實證證候; 模糊理論。 Syndrome differentiation in traditional Chinese medicine (TCM) identifies syndromes according to symptoms observed through inspection, listening and smelling, inquiry and palpation. A syndrome contains cause of disease, location of disease, and nature of disease. Syndrome differentiation is a fuzzy classification problem. This thesis makes use of the large amount of memory and the fast analysis capability of computers to develop an excess syndrome differentiation system based on fuzzy theory. This thesis summarizes 47 excess syndromes and their feature symptoms according to 5 TCM diagnosis textbooks. This thesis applies member functions in fuzzy theory to perform fuzzy classification by dividing feature symptoms of each syndrome into four groups: cause of disease, location of disease, tongue diagnosis, and pulse diagnosis. This thesis also conducts a preliminary system evaluation using 10 medical record reports from TCM Journals published in Taiwan. The results of the system evaluation show that syndromes identified by our system highly coincide with syndromes identified in medical record reports.Keywords: TCM syndrome differentiation system, TCM excess syndromes, fuzzy theor