International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 25 - Number 11 |
Year of Publication: 2011 |
Authors: Surapati Pramanik, Partha Pratim Dey |
10.5120/3155-4360 |
Surapati Pramanik, Partha Pratim Dey . Bi-level Linear Fractional Programming Problem based on Fuzzy Goal Programming Approach. International Journal of Computer Applications. 25, 11 ( July 2011), 34-40. DOI=10.5120/3155-4360
This paper presents fuzzy goal programming approach for bi-level linear fractional programming problem with a single decision maker at the upper level and a single decision maker at the lower level. Here, each level has single objective function, which are fractional in nature and the system constraints are linear functions. In the proposed approach, we first construct fractional membership functions by determining individual best solution of the objective functions subject to the system constraints. The fractional membership functions are then transformed into equivalent linear membership functions by first order Taylor polynomial series. Since the objectives of both level decision makers are potentially conflicting in nature, a possible relaxation of both level decisions is considered for avoiding decision deadlock. Then, the fuzzy goal programming approach is used for achieving highest degree of each of the membership goals to the maximum possible by minimizing the negative deviational variables. To demonstrate the efficiency of the proposed approach, an illustrative numerical example is solved and Euclidean distance function is used to obtain compromise optimal solution.