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Title:FuREAP: A fuzzy-rough estimator of algae population
Authors: Qiang Shen ; Alexios Chouchoulas
Date:May 2001
Publication Title:Artificial Intelligence in Engineering
Volume No:15(1) Page Nos:13-24
Concern for environmental issues has increased in recent years. Waste production influences humanity's future. The alga, an ubiquitous single-celled plant, can thrive on industrial waste, to the detriment of water clarity and human activities. To avoid this, biologists need to isolate the chemical parameters of these rapid population fluctuations. This paper proposes a Fuzzy-Rough Estimator of Algae Populations (FuREAP), a hybrid system involving Fuzzy Set and Rough Set theories that estimates the size of algae populations given certain water characteristics. Through dimensionality reduction, FuREAP significantly reduces computer time and space requirements. Also, it decreases the cost of obtaining measurements and increases runtime efficiency, making the system more viable economically. By retaining only information required for the estimation task, FuREAP offers higher accuracy than conventional rule induction systems. Finally, FuREAP does not alter the domain semantics, making the distilled knowledge human-readable. The paper addresses the problem domain, architecture and modus operandi of FuREAP, and provides and discusses detailed experimental results.
2002 by The University of Edinburgh. All Rights Reserved
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Bibtex format
author = { Qiang Shen and Alexios Chouchoulas },
title = {FuREAP: A fuzzy-rough estimator of algae population},
year = 2001,
month = {May},
volume = {15(1)},
pages = {13-24},

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