@proceedings {4945,
	title = {Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge, ISSN / ISBN 2308-4375 /  978-1-61208-620-0},
	journal = { eKNOW 2018  International Conference on Information, Process, and Knowledge Management,Rome, Italie},
	year = {2018},
	pages = {44-49},
	abstract = {The automation of production systems has been ananswer to the changing and competitive industrial context andworks by extracting data and experiences of experts. Thisautomation is a double-edged sword; on one hand, it increasesthe productivity of the technical system (cost reduction,reliability, availability, quality), but, on the other hand, itincreases the complexity of the system. This has led to the needof efficient technologies, such as Supervisory Control and DataAcquisition (SCADA) systems and techniques that couldabsorb this complexity such as artificial intelligence and fuzzylogic. In this context, we develop an application that controlsthe pretreatment and pasteurization station of milk localized inBatna (Algeria) by adopting a control approach based onexpert knowledge and fuzzy logic.},
	url = {http://www.ns2.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_6800},
	author = {Hanane Zermane}
}
