Title :
Syndrome Differentiation in Intelligent TCM Diagnosis System
Author :
Wu, Meihong ; Zhou, Changle
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
fDate :
March 31 2009-April 2 2009
Abstract :
The process of Traditional Chinese Medicine diagnosis is the combination of disease differentiation and syndrome differentiation, and the most difficult part is to differentiate the manifestations of the disease. In this paper we first introduce an intelligent traditional Chinese medical diagnostic system and then we propose an approach for syndrome differentiation in the basis of interval-valued intuitionistic fuzzy sets theory, which benefit decision-making for the diagnosis.
Keywords :
decision making; differentiation; diseases; fuzzy logic; fuzzy reasoning; fuzzy set theory; medical diagnostic computing; multi-agent systems; decision-making; disease; intelligent TCM diagnosis system; interval-valued intuitionistic fuzzy sets theory; multi agent system; syndrome differentiation; traditional Chinese medicine; Computer science; Diseases; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Intelligent systems; Medical diagnosis; Medical diagnostic imaging; Multiagent systems; Syndrome Differentiation; diagnosis; interval-valued intuitionistic fuzzy set;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.782
