DocumentCode :
2664259
Title :
A method for knowledge representation with automatic uncertainty embodiment
Author :
Campos, Fabio ; Cavalcante, Sérgio
Author_Institution :
Faculdade Marista, Univ. Fed. de Pernambuco, Recife, Brazil
fYear :
2003
fDate :
26-29 Oct. 2003
Firstpage :
102
Lastpage :
107
Abstract :
A key issue in dealing with knowledge representation is how to combine evidences from different sources, modelling adequately its uncertainty and conflict. A popular formalism to model someone´s degrees of belief is the Theory of Evidence, or Dempster-Shafer Theory. This theory lacks a mean of automatic uncertainty embodiment, which limits the range of application of this theory, and, at the same time, leads to a potential disregard of hypothesis that otherwise could add information to the system. We present a way to modify the Theory of Evidence, able to solve the counter intuitive behavior.
Keywords :
inference mechanisms; knowledge representation; uncertainty handling; Dempster-Shafer Theory; Theory of Evidence; automatic uncertainty embodiment; knowledge representation; Bayesian methods; Counting circuits; Knowledge representation; Marketing and sales; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7902-0
Type :
conf
DOI :
10.1109/NLPKE.2003.1275876
Filename :
1275876
Link To Document :
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