Design of fuzzy knowledge based systems with multi-set confidence models

Leonid Sheremetov; Ildar Batyrshin; Jorge Martínez-Muñóz

doi:10.1109/ICSMC.2011.6083680

Design of fuzzy knowledge based systems with multi-set confidence models

Leonid Sheremetov, Ildar Batyrshin, Jorge Martínez-Muñóz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
Pages	290-295
Number of pages	6
DOIs	https://doi.org/10.1109/ICSMC.2011.6083680
State	Published - 2011
Externally published	Yes
Event	2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States Duration: 9 Oct 2011 → 12 Oct 2011

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
Country/Territory	United States
City	Anchorage, AK
Period	9/10/11 → 12/10/11

Keywords

fuzzy rule
multisets
uncertainty

Access to Document

10.1109/ICSMC.2011.6083680

Cite this

Sheremetov, L., Batyrshin, I., & Martínez-Muñóz, J. (2011). Design of fuzzy knowledge based systems with multi-set confidence models. In 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest (pp. 290-295). Article 6083680 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2011.6083680

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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.",

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author = "Leonid Sheremetov and Ildar Batyrshin and Jorge Mart{\'i}nez-Mu{\~n}{\'o}z",

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doi = "10.1109/ICSMC.2011.6083680",

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Sheremetov, L, Batyrshin, I & Martínez-Muñóz, J 2011, Design of fuzzy knowledge based systems with multi-set confidence models. in 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest., 6083680, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 290-295, 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011, Anchorage, AK, United States, 9/10/11. https://doi.org/10.1109/ICSMC.2011.6083680

Design of fuzzy knowledge based systems with multi-set confidence models. / Sheremetov, Leonid; Batyrshin, Ildar; Martínez-Muñóz, Jorge.
2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest. 2011. p. 290-295 6083680 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Sheremetov L, Batyrshin I, Martínez-Muñóz J. Design of fuzzy knowledge based systems with multi-set confidence models. In 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest. 2011. p. 290-295. 6083680. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.2011.6083680

Design of fuzzy knowledge based systems with multi-set confidence models

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