Developing a Goodness Criteria for Tide Predictions Based on Fuzzy Preference Ranking

Developing a Goodness Criteria for Tide Predictions Based on Fuzzy Preference Ranking

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.

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Bibliographische Detailangaben
Hauptverfasser: Sadovski, Alexey L., Steidley, Carl, Michaud, Patrick, Tissot, Philippe
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Expert Information
Fuzzy Relationship
Learning and adaptive systems
Preference Ranking
Water Level
Water Level Difference
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-45034-3_40