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Mexican International Conference on Artificial Intelligence

MICAI 2006: MICAI 2006: Advances in Artificial Intelligence pp 90–100Cite as

Fuzzy State Estimation of Discrete Event Systems

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4293)

Abstract

This paper addresses state estimation of discrete event systems (DES) using a fuzzy reasoning approach; a method for approximating the current state of DES with uncertainty in the duration of activities is presented. The proposed method is based on a DES specification given as a fuzzy timed Petri net in which fuzzy sets are associated to places; a technique for the recursive computing of imprecise markings is given, then the conversion to discrete marking is presented.

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  • DOI: 10.1007/11925231_9
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Author information

Authors and Affiliations

  1. CINVESTAV-IPN Unidad Guadalajara, Av. Científica 1145, Col. El Bajío, 45010, Zapopan, Jal., México

    Juan Carlos González-Castolo & Ernesto López-Mellado

Authors
  1. Juan Carlos González-Castolo
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  2. Ernesto López-Mellado
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, 07738, Mexico City, México

    Alexander Gelbukh

  2. Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro No. 1, Sta. Ma. Tonanzintla, 72840, Puebla, México

    Carlos Alberto Reyes-Garcia

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© 2006 Springer-Verlag Berlin Heidelberg

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González-Castolo, J.C., López-Mellado, E. (2006). Fuzzy State Estimation of Discrete Event Systems. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_9

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  • DOI: https://doi.org/10.1007/11925231_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49026-5

  • Online ISBN: 978-3-540-49058-6

  • eBook Packages: Computer ScienceComputer Science (R0)