Multi-level Multi-objective Quadratic Fractional Programming Problem with Fuzzy Parameters: A FGP Approach
M. S. Osman
Department of Mathematics and Operations Research, El Asher University, Egypt.
O. E. Emam
Department of Information Systems, Faculty of Computers and Information, Helwan University, P.O.Box 11795, Egypt.
M. A. El Sayed *
Department of Basic Engineering Sciences, Faculty of Engineering, Benha University, El Qalyoubia, Egypt.
*Author to whom correspondence should be addressed.
Abstract
The motivation behind this paper is to present multi-level multi-objective quadratic fractional programming (ML-MOQFP) problem with fuzzy parameters in the constraints. ML-MOQFP problem is an important class of non-linear fractional programming problem. These type of problems arise in many fields such as production planning, financial and corporative planning, health care and hospital planning. Firstly, the concept of the -cut and fuzzy partial order relation are applied to transform the set of fuzzy constraints into a common crisp set. Then, the quadratic fractional objective functions in each level are transformed into non-linear objective functions based on a proposed transformation. Secondly, in the proposed model, separate non-linear membership functions for each objective function of the ML-MOQFP problem are defined. Then, the fuzzy goal programming (FGP) approach is utilized to obtain a compromise solution for the ML-MOQFP problem by minimizing the sum of the negative deviational variables. Finally, an illustrative numerical example is given to demonstrate the applicability and performance of the proposed approach.
Keywords: Multi-level programming, multi-objective fractional programming, quadratic programming, Fuzzy sets, Fuzzy goal programming.