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Real World HAIS Applications and data uncertainty

Contents of the session

Hybrid Artificial Intelligent Systems (HAIS) has been used in recent years to obtain better models by means of the combination and association of several different techniques from artificial intelligence subfields as neuro-fuzzy systems, genetic fuzzy systems, fuzzy experts systems, etc. Usually, Real World problems are highly complex as they involve imprecision, uncertainty and vagueness in their data and mesurements. Because of their inherent complexity and uncertainty they usually can not be modelled with one only technique, and multiple methods are needed to aboard them, which are HAIS. This session concerns with the modelling and resolution of real world problems by means of HAIS, including the following topics:

  • Fuzzy logic in HAIS
  • Real World System modelling with HAIS
  • Applied theoretical concepts of HAIS to real world applications
  • Theoretical issues of uncertainty in HAIS
  • The role of Genetic Fuzzy Systems and Evolutionary Systems in real world problems
  • Hardware implementation of HAIS

All submissions will be refereed by at least three experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS'08 will be reviewed by at least two members of the Program Committee. Accepted contributions are to be published in the HAIS'09 Proceedings.

NOTICE: At least one author of each accepted paper must register in order for the paper to be included in the HAIS 2009 Proceedings.

Co-Chairs

  • Enrique de la Cal, Computer Science Department, University of Oviedo
  • José Ramón Villar, Computer Science Department, University of Oviedo

Contact information

PC Members

  • Camelia Chira, Computer Science Department, University of Babes-Bolyai, Romania
  • Enrique de la Cal, Computer Science Department, University of Oviedo, Spain
  • Richard T. Freeman, Capgemini UK plc
  • Isaías García, Electric and Electronic Department, University of León, Spain
  • Lars Graening, Honda Research Institute Europe GmbH
  • Luis Junco, Computer Science Department, University of Oviedo, Spain
  • Gerardo M. Méndez, Electronic and Electric Engineering Department, Instituto Tecnológico de Nuevo León, Mexico
  • José Otero, Computer Science Department, University of Oviedo, Spain
  • Ana Palacios, Computer Science Department, University of Oviedo, Spain
  • Camelia Pintea, Computer Science Department, University of Babes-Bolyai, Romania
  • Adolfo Rodríguez, Computer Science Department, University of León, Spain
  • Luciano Sánchez, Computer Science Department, University of Oviedo, Spain
  • Javier Sedano, Electromagnetic Engineering Department, University of Burgos, Spain
  • María del Rosario Suárez, Computer Science Department, University of Oviedo, Spain
  • José Ramón Villar, Computer Science Department, University of Oviedo, Spain

Dates

  • Submission of papers by Authors: 23th January, 2009
  • Notification of provisional acceptance: 27th February, 2009
  • Submission of final papers: 16th March, 2009
  • Early registration (special rates): 16th March, 2009
  • HAIS 2009 Conference: 10 th-12th June, 2009

Proceedings

HAIS'09 proceedings will be published by Springer in its series of LNCS/LNAI- LNAI (Lecture Notes in Artificial Intelligence). (Tentative) All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.


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Sponsors

Confederación de Asociaciones Empresariales de Burgos Fundación Centro de SuperComputación Machine Intelligence Research Labs

Organizers

NIHIS GICAP BISITE
UBUUniversidad de Burgos

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