An Intuitionistic Fuzzy Set-Based Model for Intelligent Traditional Chinese Medicine Diagnosis

Abstract

According to the characteristics of Traditional Chinese Medicine, this paper introduces an intuitionistic fuzzy set-based method to realize the intelligent diagnostic decision making. We firstly concentrate on diagnosis of diseases and differentiation of syndromes by modeling medical diagnosis rules via intuitionistic fuzzy relations as well as how to obtain intuitionistic medical knowledge on the basis of intuitionistic fuzzy sets. Subsequently we develop a new approach to point out the final proper diagnosis by largest degree of intuitionistic cognitive fuzzy match between symptoms characteristic for a patient and symptoms indicate the considered illnesses in decision-making process. The new approach allows reaching the intelligent diagnoses reasonably and easily, which benefit TCM syndrome differentiation for the whole diagnosis.