Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.81
