Syndrome Differentiation in Intelligent TCM Diagnosis System

Author

Wu, Meihong ; Zhou, Changle

Author_Institution

Dept. of Comput. Sci., Xiamen Univ., Xiamen, China

Volume

5

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

387

Lastpage

391

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.782

Filename

5170564