A Fuzzy Approach for Solving Fractional Programming Problems | ||||
| Delta Journal of Science | ||||
| Article 9, Volume 38, Issue 1, June 2017, Page 74-80 PDF (1.19 MB) | ||||
| Document Type: Research and Reference | ||||
| DOI: 10.21608/djs.2017.139430 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| E.A. Youness; E. F. Ibrahim* | ||||
| Department of Mathematics Faculty of Science, Tanta University, Tanta, Egypt. | ||||
| Abstract | ||||
| In this paper we describe a fuzzy approach for solving nonlinear fractional programming problem with linear constraints (NLFPP). In the proposed approach, the objective function is transformed into linear function by using Taylor’s theorem and the considered NLFPP is changed into equivalent linear programming problem (LPP) which it can be solved as a linear programming problem. The proposed approach is based on choosing three initial points inside the feasible region which enable us to generate a new point at which the value of objective function is better than the previous value, and so on to reach the best approximation of optimal solution. | ||||
| References | ||||
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