DocumentCode
401698
Title
Uncertainty reasoning based on filter of lattice implication algebra
Author
Ma, Jun ; Li, Tian-Rui ; Gao, Ya
Volume
3
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1578
Abstract
In this paper, we took filter of lattice implication algebra as the measure of reliability for premises and inference rule and applied it to uncertainty reasoning. Firstly, we analyzed the properties of filter and pointed out that it can be regarded as a semantical model of hypothetical syllogism. Secondly, we discussed the closeness of inference rule with respect to value of reliability and shown some inference rules which closed with respect to filter. Then we studied the feature of reliability changing dynamically in a running reasoning through the paradox of bald man. Finally, we presented an uncertainty reasoning method based on filter.
Keywords
algebra; knowledge representation; lattice filters; learning (artificial intelligence); uncertainty handling; hypothetical syllogism; inference rule; lattice filter; lattice implication algebra; reliability; semantical model; uncertainty reasoning; Algebra; Filters; Fuzzy logic; Humans; Lattices; Logic functions; Machine learning; Mathematics; Multivalued logic; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259747
Filename
1259747
Link To Document