Research on Uncertain Knowledge Representation and Processing in the Expert System

Author

Zhu, Lin-li ; Huang, Xing-kui ; Dai, Guo-hong

Author_Institution

Inf. Center, Jiangsu Teachers Univ. of Technol., Changzhou, China

fYear

2011

fDate

8-9 Oct. 2011

Firstpage

277

Lastpage

281

Abstract

Uncertain knowledge representation and processing is a hot issue the expert system has been always studying. Based on the elaboration on the structure and category of the expert system, this paper describes eight methods for uncertain knowledge representation and processing, including deterministic theory, subjective Bayesian approach, fuzzy theory, evidence theory, grey system theory, concept maps, rough set theory, and set pair analysis, and looks forward to the future research direction of uncertain knowledge representation and processing.

Keywords

Bayes methods; expert systems; fuzzy set theory; grey systems; knowledge representation; rough set theory; concept maps; deterministic theory; evidence theory; expert system; fuzzy theory; grey system theory; rough set theory; set pair analysis; subjective Bayesian approach; uncertain knowledge processing; uncertain knowledge representation; Approximation methods; Cognition; Expert systems; Knowledge representation; Rough sets; Uncertainty; expert system; knowledge representation; processing; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4577-1788-8

Type

conf

DOI

10.1109/KAM.2011.81

Filename

6137635