@proceedings {64713,
	title = {Control of inhalation anesthesia using fuzzy logic},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	month = {2018},
	author = {Samira Brahmi}
}
@proceedings {65179,
	title = {Relative scientometric analysis of knowledge management journals in SCOPUS},
	journal = {2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)},
	year = {2018},
	month = {2018},
	pages = {1-7},
	publisher = {IEEE},
	isbn = {1-5386-4238-7},
	author = {Samia Aitouche and Samira Brahmi and Hanane Zermane and Naima Zerari and Latreche, Khaled and KAANIT, Abdelghafour}
}
@proceedings {64712,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logic},
	journal = {International Conference on Industrial Engineering and Operations Management  , July 26-27},
	year = {2018},
	month = {2018},
	address = {Paris, France},
	abstract = {
	Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.

},
	url = {http://www.ieomsociety.org/paris2018/papers/321.pdf},
	author = {Samira Brahmi and Hanane, Zermane and Naima, Zerari and Kasmi Rachad}
}
@proceedings {64173,
	title = {Intellectual capital and its measurement},
	journal = {IEOM 2017 Industrial Engineering and Operations Management 11-13 Avril },
	year = {2017},
	month = {2017},
	address = {Rabat, Marocco},
	abstract = {
	Intellectual Capital is gaining importance in today{\textquoteright}s knowledge economy and plays a vital role in innovation, productivity growth, performance and competitiveness of organizations. The Intellectual Capital may include the following areas: human resources, organizational structure and processes, research and development, technology and rights related to intellectual property, and consumer networks and software providers. The purpose of this work is to measure the intellectual capital in an Algerian organization (or production system) using the Weightless Wealth Tool Kit {\textquotedblleft}WWTK{\textquotedblright}. The results of the intellectual capital measurement are supplemented by traditional financial ratios. The measurement was applied to the National Company of wells Services (ENSP) in Hassi Messaoud city, in south of Algeria. We calculated the intellectual capital (intangible resources) of the ENSP to help the organization to better capitalize on its potential of workers and their know-how. The intangible value of the ENSP is evaluated at 16,936,173,345 DA in 2015.

},
	url = {https://d1wqtxts1xzle7.cloudfront.net/81016910/53-libre.pdf?1645259116=\&response-content-disposition=inline\%3B+filename\%3DIntellectual_capital_and_its_measurement.pdf\&Expires=1653384550\&Signature=caP9MKVvUPbht7kiDevKKLMboPxJcjlzN9oE7U9MKLEzSYjiNGzmzl33sHo},
	author = {Samira Brahmi and Samia Aitouche and Mouss, Mohamed-Djamel}
}
