TY - CHAP
T1 - ESYNDIAG
T2 - A Fuzzy Expert System for Eight Syndrome Diagnosis in Traditional Vietnamese Medicine
AU - Nguyen, Hoang Phuong
AU - Vu, Lam Tung
AU - Truong, Thuy Hong
AU - Hirota, Kaoru
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - A fuzzy rule—based expert system ESYNDIAG is presented for eight syndrome diagnosis in Traditional Vietnamese Medicine combining positive and negative rules. After designing and building a suitable inference engine for this system, efforts have been committed to create effective knowledge base consisting of more 800 positive rules for confirmation of conclusion and of more 100 negative rules for exclusion of the same conclusion. How the rule base is constructed, managed and used are focussed on for diagnosis of eight syndromes in Traditional Vietnamese medicine such as Yin syndrome, Yang syndrome, Superficial syndrome, deep syndrome, Cold syndrome, Hot syndrome, Deficiency syndrome, Excess syndrome. The inference engine shows how to combine positive and negative rules. The first evaluation of ESYNDIAG is presented by the traditional medicine expert’s group in Vietnam and confirmed that ESYNDIAG diagnoses with a high accuracy.
AB - A fuzzy rule—based expert system ESYNDIAG is presented for eight syndrome diagnosis in Traditional Vietnamese Medicine combining positive and negative rules. After designing and building a suitable inference engine for this system, efforts have been committed to create effective knowledge base consisting of more 800 positive rules for confirmation of conclusion and of more 100 negative rules for exclusion of the same conclusion. How the rule base is constructed, managed and used are focussed on for diagnosis of eight syndromes in Traditional Vietnamese medicine such as Yin syndrome, Yang syndrome, Superficial syndrome, deep syndrome, Cold syndrome, Hot syndrome, Deficiency syndrome, Excess syndrome. The inference engine shows how to combine positive and negative rules. The first evaluation of ESYNDIAG is presented by the traditional medicine expert’s group in Vietnam and confirmed that ESYNDIAG diagnoses with a high accuracy.
KW - Fuzzy expert systems
KW - Syndrome diagnosis
KW - Traditional Vietnamese Medicine
UR - http://www.scopus.com/inward/record.url?scp=85088436888&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49536-7_12
DO - 10.1007/978-3-030-49536-7_12
M3 - Chapter
AN - SCOPUS:85088436888
T3 - Studies in Computational Intelligence
SP - 127
EP - 139
BT - Studies in Computational Intelligence
PB - Springer
ER -