An uncertainty model for diagnostic expert system based on fuzzy algebras of strict monotonie operations

Leonid Sheremetov, Ildar Batyrshin, Denis Filatov, Jorge Martínez-Muñoz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

Expert knowledge in most of application domains is uncertain, incomplete and perception-based. For processing such expert knowledge an expert system should be able to represent and manipulate perception-based evaluations of uncertainties of facts and rules, to support multiple-valuedness of variables, and to make conclusions with unknown values of variables. This paper describes an uncertainty model based on two algebras of conjunctive and disjunctive multi-sets used by the inference engine for processing perception-based evaluations of uncertainties. The discussion is illustrated by examples of the expert system, called SMART-Agua, which is aimed to diagnose and give solution to water production problems in petroleum wells.

Idioma originalInglés
Título de la publicación alojadaMICAI 2006
Subtítulo de la publicación alojadaAdvances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings
EditorialSpringer Verlag
Páginas165-175
Número de páginas11
ISBN (versión impresa)3540490264, 9783540490265
DOI
EstadoPublicada - 2006
Publicado de forma externa
Evento5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, México
Duración: 13 nov. 200617 nov. 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4293 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
País/TerritorioMéxico
CiudadApizaco
Período13/11/0617/11/06

Huella

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