DocumentCode :
2376292
Title :
Design of fuzzy knowledge based systems with multi-set confidence models
Author :
Sheremetov, Leonid ; Batyrshin, Ildar ; Martínez-Muñóz, Jorge
Author_Institution :
IEEE Transactions on SMC, Mexican Pet. Inst., Mexico-city, Mexico
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
290
Lastpage :
295
Abstract :
In many application domains, the use of AI has been restrained due to the lack of viable models and tools for dealing with evaluations of uncertainties of domain knowledge. One of the feasible alternatives is based on fuzzy algebras of strict monotonic operations with multisets. Nevertheless the implementation of such a model in knowledge engineering tools is a challenging issue since many traditional approaches do not work for such model. In the paper, the multiset-based model of uncertainty is proposed and associated specifics of the construction and validation of such knowledge-based systems is discussed. The underlying model and engineering tools have been used in applications for petroleum engineering, which illustrate the proposed approach.
Keywords :
algebra; fuzzy set theory; knowledge based systems; petroleum industry; uncertainty handling; AI; Multiset Confidence Models; fuzzy algebras; fuzzy knowledge based systems; knowledge engineering tools; monotonic operations; multiset based uncertainty model; petroleum engineering; Additives; Algebra; Cognition; Engines; Testing; Tuning; Uncertainty; fuzzy rule; multisets; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6083680
Filename :
6083680
Link To Document :
بازگشت