The following information was submitted:
Transactions: Please, select the Journal that you submit to
Transactions ID Number: 32-299
Full Name: Mahmoud El-Borai
Position: Professor
Age: ON
Sex: Male
Address: Faculty of science Alexandria University Egypt
Country: EGYPT
Tel: 00203 5826365
Tel prefix:
Fax: 00203 3911794
E-mail address: m_m_elborai@yahoo.com
Other E-mails:
Title of the Paper: Using artificial neural network to rank the sub-objectives in a large steel producing unit in the city of Annaba-Algeria
Authors as they appear in the Paper: Mahmoud El-borai, Mostafa Saleh, Khaled El-sharkawy
Email addresses of all the authors: m_m_elborai@yahoo.com, mostafasaleh@mans.edu.eg, s_1807@yahoo.com
Number of paper pages: 11
Abstract: Using Artificial Neural Network To Rank the Sub-objectives in a Large Steel Producing Unit in the City of ANNABA-ALGERIA Mahmoud M. El-Borai, M. M. Saleh, K. A. El-Sharkawy Abstract: The recent directions to rank the sub-objectives in Multi-criteria decision-making (MCDM) problems are mainly depending upon the achieved progress in computer science. For example, genetic system, expert system, decision support system, and Artificial Neural Network (ANN) have been applied to overcome the short coming associated with the solution of MCDM problems. In this paper, the neural network method was applied to the (MOLPP) in a large steel producing unit, SNS (Society Nationale de Sederurgie) located in the city of Annaba, in Algeria.
Keywords: Keywords: Multi-objective linear programming problem (MOLPP), Society Nationale de Sederurgie (SNS), Multi-objective decision maker (MODM), Multi-objective Decision- Making (MCDM), Multi-objective Decision- Making problem (MODMP) Artificial Neural Network (ANN), Decision-Making (DM), Multi-objective problems (MOP), Feed Forward Artificial Neural Network (FF-ANN), Goal programming (GP
EXTENSION of the file: .pdf
Special (Invited) Session: No
Organizer of the Session: No
How Did you learn about congress:
IP ADDRESS: 196.205.228.196