Abstract
The green supplier selection can be considered as a multiple criteria decision making (MCDM) problem that contains a set of criteria with inter-dependency. In this study, we propose an improved gained and lost dominance score (GLDS) method to address two important issues in MCDM problems that involve the interaction among criteria and the attitude characteristics of an expert in the hesitant fuzzy environment. Firstly, a novel distance measure of hesitant fuzzy sets (HFSs) is introduced by considering the hesitancy degrees of evaluations with the score function of hesitant fuzzy elements. Then, an improved GLDS method based on the Choquet integral operator is proposed to handle the MCDM problems with interactive criteria within the hesitant fuzzy context. Finally, an illustrative example of green supplier selection is provided to verify the applicability of the proposed method.
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Acknowledgements
The work was supported by the National Natural Science Foundation of China (71771156), the 2019 Sichuan Planning Project of Social Science (No. SC18A007), the 2019 Soft Science Project of Sichuan Science and Technology Department (No. 2019JDR0141), and the Spark Project of Innovation at Sichuan University (No. 2018hhs-43). It was also funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant No. RG-10-611-39. The authors, therefore, acknowledge with thanks DSR technical and financial support.
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Liao, Z., Liao, H., Al-Barakati, A. (2020). A Choquet Integral-Based GLDS Method for Green Supplier Selection with Hesitant Fuzzy Information. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1001. Springer, Cham. https://doi.org/10.1007/978-3-030-21248-3_20
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DOI: https://doi.org/10.1007/978-3-030-21248-3_20
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