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Using fuzzy logic model for the selection and priorization of port areas to hydrographic re-surveying
de Oliveira, S.S.; de Souza, F.J.; Mandorino, F. (2006). Using fuzzy logic model for the selection and priorization of port areas to hydrographic re-surveying, in: Evolutions in hydrography, 6th - 9th November 2006, Provincial House Antwerp, Belgium: Proceedings of the 15th International Congress of the International Federation of Hydrographic Societies. Special Publication (Hydrographic Society), 55: pp. 63-67
In: (2006). Evolutions in hydrography, 6th - 9th November 2006, Provincial House Antwerp, Belgium: Proceedings of the 15th International Congress of the International Federation of Hydrographic Societies. Special Publication (Hydrographic Society), 55. International Federation of Hydrographic Society: London. 234 + cd-rom pp., meer
In: Special Publication (Hydrographic Society). Hydrographic Society: London. ISSN 0309-8303, meer
Beschikbaar in  Auteurs 
Documenttype: Congresbijdrage
Trefwoorden
    Surveying > Hydrographic surveying
    Marien/Kust
Auteurs  Top 
  • de Oliveira, S.S.
  • de Souza, F.J.
  • Mandorino, F.
Abstract
    The establishment of a priority for hydrographic surveying, especially in countries with great coast extension, is essential due to the costs, time, navigation safety and political-economical conjuncture involved. Finding criteria that reflects the importance of re-surveying a given area is fundamental in this case. The traditional thematic classification has the limits and borders as crisps. However, reality shows that temporal, geobiophysics and socio-economics data, that should be used to classify areas for re-surveying, can not be truly expressed in a crisp or Boolean way. The Fuzzy Inference System (FIS), based in the Fuzzy Set Theory, has been used successfully to deal with such kind of problems. In this paper an approach of the hydrographic re-survey priority plan in port areas problem is presented using a FIS.
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