Comparison of fuzzy inference systems for streamflow prediction

A comparison of the Mamdani and the Takagi-Sugeno (TS) fuzzy inference systems is presented for predicting streamflow values. The TS fuzzy rule base uses linear functions of inputs to predict the output, whereas the Mamdani version of inference determines outputs through fuzzy sub-sets. A genetic al...

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Bibliographic Details
Published in:	Hydrological sciences journal Vol. 54; no. 2; pp. 261 - 273
Main Author:	OZGER, Mehmet
Format:	Journal Article
Language:	English
Published:	Wallingford Taylor & Francis Group 01.04.2009 IAHS Press
Subjects:	algorithmes génétiques case studies débit en rivière Earth sciences Earth, ocean, space Euphrate Euphrates River Exact sciences and technology Freshwater fuzzy logic genetic algorithms Hydrology Hydrology. Hydrogeology logique floue Mamdani prediction prévision rain rivers stream flow streamflow Tagaki-Sugeno Takagi-Sugeno Turkey (country) uncertainty Middle East Turkey Asia Euphrates River Asia, Euphrates R Turkey (country) algorithms models rainfall correlation river discharge fuzzy logic prediction uncertainties errors streamflow
ISSN:	0262-6667, 2150-3435
Online Access:	Get full text
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