Abstract
In this paper, an approach of hybrid technique is presented to derive Pareto optimal solutions of a multi-objective linear fractional programming problem (MOLFPP). Taylor series approximation along with the use of a hybrid technique comprising both weighting and \( \epsilon \)-constraint method is applied to solve the MOLFPP. It maintains both priority and achievement of possible aspired values of the objectives by the decision maker (DM) while producing Pareto optimal solutions. An illustrative numerical example is discussed to demonstrate the proposed method and to justify the effectiveness, the results so obtained are compared with existing fuzzy max–min operator method.
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Authors are grateful to the Editor and anonymous referees for their valuable comments and suggestions to improve the quality of presentation of the paper.
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Suvasis Nayak, Ojha, A.K. (2016). An Approach to Solve Multi-objective Linear Fractional Programming Problem. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_59
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DOI: https://doi.org/10.1007/978-981-10-0448-3_59
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