id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2yfpqgwysjgvtfekdhm5l462zm	Jean-Philippe Poli	A fuzzy expert system architecture for data and event stream processing	2018	32	.pdf	application/pdf	9470	939	71	A fuzzy expert system architecture for data and event stream processing. A fuzzy expert system architecture for data and event stream processing. Keywords: Fuzzy expert system, complex event processing, data stream computational cost, it has been showed that fuzzy rule bases need to be more55 number of rules: applying on information streams needs a fast processing of expert systems in which the problem of the rule base size in terms of computation speed is addressed by eliminating redundancy in the assessment. information streams, inputs may change several times per second, or rules must or of patients need to process the same rule base over different input streams. To compute the different nodes of the graph representing the rule base, the to process rule bases, varying the number of inputs and terms to increase the355 Figure 4: Average number of nodes to be evaluated for different rule base sizes in the all four	./cache/work_2yfpqgwysjgvtfekdhm5l462zm.pdf	./txt/work_2yfpqgwysjgvtfekdhm5l462zm.txt