Multi-objective optimization also known as multi-objective programming is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. In such circumstance, we have to be discovered out compromise arrangement which is ideal for all the objectives in a few senses. In this paper, we transformed multi-objective linear plus linear fractional programming problems to single QPP and then solved by methods of QPP. Illustrative numerical examples are displayed for exhibit reason. We have explored an arrangement to the MOLPLFP issue based on a hypothesis already considered by Dinkelbach. He clearly delineated a calculation for fractional programming with nonlinear as well as linear terms within numerator and denominator.