Red Tide Blooms Prediction using Fuzzy Reasoning


The KIPS Transactions:PartB , Vol. 18, No. 5, pp. 291-294, Oct. 2011
10.3745/KIPSTB.2011.18.5.291,   PDF Download:

Abstract

Red tide is a temporary natural phenomenon to change sea color by harmful algal blooms, which finfish and shellfish die en masse. There have been many studies on red tide due to increasing of harmful algae damage of fisheries in Korea. Particularly, red tide damage can be minimized by means of prediction of red tide blooms. However, the most of red tide research in Korea has been focused only classification of red tide which it is not enough for predicting red tide blooms. In this paper, we proposed the red tide blooms prediction method using fuzzy reasoning.


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Cite this article
[IEEE Style]
S. Park and S. R. Lee, "Red Tide Blooms Prediction using Fuzzy Reasoning," The KIPS Transactions:PartB , vol. 18, no. 5, pp. 291-294, 2011. DOI: 10.3745/KIPSTB.2011.18.5.291.

[ACM Style]
Sun Park and Seong Ro Lee. 2011. Red Tide Blooms Prediction using Fuzzy Reasoning. The KIPS Transactions:PartB , 18, 5, (2011), 291-294. DOI: 10.3745/KIPSTB.2011.18.5.291.