Abstract
In this paper, a multi-objective mathematical model is developed in fuzzy environment in which the vagueness in aspiration level of objectives and data imprecision regarding the selection criteria and related constraints are considered simultaneously as a source of fuzziness. In the model, such data imprecision is presented based on the estimation of its possibility distribution to better capture the uncertainty. Finally, a fuzzy solution methodology is constructed by the aid of weighted additive aggregation function to derive optimal solution. As preliminary investigation, we report that the proposed model is more flexible and convenient than the previous models whose imprecise parameters are treated as a given single estimated value.
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Fatrias, D., Indrapriyatna, A.S., Meilani, D. (2015). Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_56
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DOI: https://doi.org/10.1007/978-3-662-47200-2_56
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