Abstract
In order to achieve a compromised solution for a multi-objective linear programming with fuzzy right hand sides, Tchebycheff norm and a new approach based on \( \alpha \)-cut is suggested to minimize the distance from the current estimate of the objective values from the ideal point. Since the obtained solutions by the Tchebycheff approach are weakly efficient for multi-objective problems. Hence, an augmented weighted Tchebycheff norm has been proposed. Here, the satisficing tradeoff algorithm is used to solve the augmented weighted Tchebycheff problems. Since the supplier selection problem is usually a multi-objective problem, the augmented weighted Tchebycheff method is applied for obtaining its solutions.
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Authors would like to thank from the International Center of Optimization and Decision Science (ODM) for its supports.
Recommender: 2016 International workshop on Mathematics and Decision Science.
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Nasseri, S.H., Chitgar, S. (2018). A New Approach for Solving Fuzzy Supplier Selection Problems Under Volume Discount. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_2
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DOI: https://doi.org/10.1007/978-3-319-66514-6_2
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