Abstract
In this paper, we propose (a) the realistic models for Supplier Selection and Order Allocation (SSOA) problem under fuzzy demand and volume/quantity discount constraints, and (b) how to select the suitable aggregation operator based on risk preference of the decision makers (DMs). The aggregation operators under consideration are additive, maximin, and augmented operators while the risk preferences are classified as risk-averse, risk-taking, and risk-neutral ones. The fitness of aggregation operators and risk preferences of DMs is determined by statistical analysis. The analysis shows that the additive, maximin, and augmented aggregation operators are consistently suitable for risk-taking, risk-averse, and risk-neutral DMs, respectively.
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© 2016 Springer International Publishing Switzerland
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Suprasongsin, S., Yenradee, P., Huynh, V.N. (2016). Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Yañez, C. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2016. Lecture Notes in Computer Science(), vol 9880. Springer, Cham. https://doi.org/10.1007/978-3-319-45656-0_6
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DOI: https://doi.org/10.1007/978-3-319-45656-0_6
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