id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2yanabvlyjeqnphthvu7dvtlvi	Cecilio Angulo	Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement	2012	22	.pdf	application/pdf	5094	340	53	article deals with the application of advanced mathematical techniques designed to aid in the management of records of different water quality monitoring networks. can indicate water quality episodes from the behaviour of variables measured at continuous automatic water control networks. and laboratory analysis, providing information related to specific events (discharges) or continuous processes (eutrophication, fish risk) which can hardly • will increase knowledge about the river basin, by summarizing in synthetic values the information contained in a set of complex variables Figure 5: Measured variables for Episode 3 (eutrophication and fish risk). For the 'fish risk indicator' case, the expert-designed membership functions for the input variables (depicted in Figure 9) have been translated to quality (discharge, eutrophication and fish risk) through continuous measurement. Figure 14 (bottom) shows the results of the 'fish risk indicator' for Episode that allow the detection and identification of episodes of urban or WWTP discharge, eutrophication and fish risk have been developed.	./cache/work_2yanabvlyjeqnphthvu7dvtlvi.pdf	./txt/work_2yanabvlyjeqnphthvu7dvtlvi.txt