A machine learning algorithm for expert system based on MYCIN model

Author

WenBin, Chen ; XiaoLing, Liu ; YiJun, Liu ; Yu, Fang

Author_Institution

Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China

Volume

2

fYear

2010

fDate

16-18 April 2010

Abstract

What lead to the inaccurate certainty factor in MYCIN model were discussed in this paper, and a correction algorithm to adjust the certainty factor to the true one based on case studies was given, and knowledge representation model and inference method based on the certainty theory and the algorithm were analyzed, and the formula for certainty in reasoning process was given. Experiments proved that even certainty factors of rules of an expert system given at the beginning was inaccurate, by using the correction algorithm, the certainty factors could converge at actual values after adequate number of case studies.

Keywords

expert systems; inference mechanisms; knowledge representation; learning (artificial intelligence); MYCIN model; certainty theory; correction algorithm; expert system; inference method; knowledge representation model; machine learning algorithm; reasoning process; Algorithm design and analysis; Computer science; Expert systems; Inference algorithms; Knowledge representation; Machine learning; Machine learning algorithms; Petroleum; Production; Uncertainty; MYCIN model; certainty theory; expert system; fuzzy reasoning; machine learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485424

Filename

5485424