An approximate reasoning using probability-possibility transformation for medical expert systems

Author

Phuong, Nguyen Hoang ; Cuong, Tran Ngoc ; Le Phu, Do

Author_Institution

Inst. of Inf. Technol., Nat. Center for Natural Sci. & Technol., Ha Noi, Viet Nam

Volume

1

fYear

1999

fDate

22-25 Aug. 1999

Firstpage

395

Abstract

We present PROPO-an experimental expert system using probability-possibility transformation for pulmonary tuberculosis diagnosis. We describe a transformation between the probabilistic logic and the possibilistic logic as a suitable reasoning engine for medical expert systems. Further more, a structure of the system including knowledge base and inference of the system is proposed. An example of performance of the system testing the knowledge base on pulmonary tuberculosis diagnosis is illustrated.

Keywords

inference mechanisms; medical expert systems; patient diagnosis; possibility theory; probabilistic logic; probability; uncertainty handling; PROPO; approximate reasoning; possibilistic logic; probabilistic logic; probability-possibility transformation; pulmonary tuberculosis diagnosis; reasoning engine; Diseases; Engines; Hospitals; Information technology; Management training; Medical diagnostic imaging; Medical expert systems; Medical treatment; Probabilistic logic; Probability distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International

Conference_Location

Seoul, South Korea

ISSN

1098-7584

Print_ISBN

0-7803-5406-0

Type

conf

DOI

10.1109/FUZZY.1999.793272

Filename

793272