Solving three Level Quadratic Programming Problem with Stochastic Parameters in the Objective Functions

O. E. Emam *

Department of Information Systems, Faculty of Computers and Information, Helwan University, P.O.Box 11795, Egypt.

M. A. Abdel-Fattah

Department of Information Systems, Faculty of Computers and Information, Helwan University, P.O.Box 11795, Egypt.

A. S. Ahmed

Department of Information Technology, Misr Public Library, Sharkia Governorate, Egypt.

*Author to whom correspondence should be addressed.


Abstract

This paper solves a stochastic three-level decision maker’s model. This approach uses stochastic parameters in the objective function to solve a three level quadratic programming problem. The probabilistic nature of the objective functions is converted to an equivalence deterministic one and then a fuzzy programming technique will be used in each level to optimize its problem separately; implementing tolerance membership concept is used to generate Pareto optimal solution for these problems. Finally, the main results developed will be clarified by a numerical example in this paper.

Keywords: Stochastic programming, fuzzy programming, three level.


How to Cite

Emam, O. E., M. A. Abdel-Fattah, and A. S. Ahmed. 2015. “Solving Three Level Quadratic Programming Problem With Stochastic Parameters in the Objective Functions”. Journal of Advances in Mathematics and Computer Science 11 (1):1-10. https://doi.org/10.9734/BJMCS/2015/19962.

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