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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| creator | Sadovski, Alexey L. Steidley, Carl Michaud, Patrick Tissot, Philippe |
| description | 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. |
| doi_str_mv | 10.1007/3-540-45034-3_40 |
| format | Book Chapter |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Developments in Applied Artificial Intelligence, 2003, Vol.2718, p.391-401 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15551966 |
| source | Springer Books |
| subjects | 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 |
| title | Developing a Goodness Criteria for Tide Predictions Based on Fuzzy Preference Ranking |
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