Linguistic summarization to support supply network decisions
Author:
Funder
Yükseköğretim Kurulu
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01677-9.pdf
Reference51 articles.
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2. Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2012.12.017.
3. Bai, X., & Liu, Y. (2016). Robust optimization of supply chain network design in fuzzy decision system. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-014-0939-y.
4. Barro, S., Bugarín, A. J., Cariñena, P., & Díaz-Hermida, F. (2003). A framework for fuzzy quantification models analysis. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2002.806319.
5. Bezdek, J. C., Ehrlich, R., & Full, W. (1984). FCM: The fuzzy c-means clustering algorithm. Computers & Geosciences. https://doi.org/10.1016/0098-3004(84)90020-7.
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