Developing a goodness criteria for tide predictions based on fuzzy preference ranking

Authors:
Alexey L. Sadovski;Carl Steidley;Patrick Michaud;Philippe Tissot
Affiliations:
Department of Computing and Mathematical Sciences, Department of Physical and Life Sciences, Texas A&M University - Corpus Christi, Ocean, Texas;Department of Computing and Mathematical Sciences, Department of Physical and Life Sciences, Texas A&M University - Corpus Christi, Ocean, Texas;Department of Computing and Mathematical Sciences, Department of Physical and Life Sciences, Texas A&M University - Corpus Christi, Ocean, Texas;Department of Computing and Mathematical Sciences, Department of Physical and Life Sciences, Texas A&M University - Corpus Christi, Ocean, Texas
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

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Abstract

The paper deals with the developing of the tool to measure quality of predictions of water levels in estuaries and shallow waters of the Gulf of Mexico, when tide charts cannot provide reliable predictions. In future this goodness criteria of predictions will be applied to different regions.