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Optimization for multi-objective sum of linear and linear fractional programming problem: fuzzy nonlinear programming approach

引用

MATHEMATICAL SCIENCES 2020年第3期14卷 219-233页

作者： Veeramani, C. Sharanya, S. Ebrahimnejad, Ali PSG Coll Technol Dept Appl Sci Coimbatore 641004 Tamil Nadu India Islamic Azad Univ Dept Math Qaemshahr Branch Qaemshahr Iran

multi-objective linear plus linear fractional programming problem is an emerging tool for solving problems in different environments such as production planning, financial and corporate planning and healthcare and hospital planning which has attracted many researchers in recent years. This paper presents a method to find a Pareto optimal solution for the multi-objective linear plus linear fractional programming problem through nonlinear membership function. The proposed approach defines a fuzzy goal for each objective through a nonlinear membership function. By means of nonlinear membership function, the multi-objective linear plus linear fractional programming problem transformed into a multi-objective nonlinear programming problem. Applying the linear approximation method, the nonlinear objectives are converted into linear. In order to solve the multi-objective linear programming problem, the fuzzy goal programming model is formulated by minimizing the negative deviational variables. The proposed procedure is illustrated through numerical examples and a real-life application problem. Further, it is compared with the existing methods. Finally, the Euclidean distance function has been used to prove the efficiency of the proposed method.

关键词： Goal programming Linear programming problem multi-objective nonlinear programming problem multi-objective linear plus linear fractional programming problem

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