Abstract
With the proposal of a green shipping development strategy, the sustainable development of container ships has become a hot issue for shipping companies. In this study, an extended TODIM method is offered within interval-valued Pythagorean hesitant fuzzy sets and is used to select the ideal container ship. The Pythagorean hesitant fuzzy sets presented in the form of intervals can retain experts’ uncertainty and hesitance to the greatest extent and reflect experts’ approval and disapproval of container ships. The cosine similarity measure among interval-valued Pythagorean hesitant fuzzy sets is defined for measuring the similarity of any two alternatives. Finally, the evaluation of container ships in terms of the shipping economy, resource, and environmental factors is reported to support the reliability and validity of the designed evaluation method.
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This work was supported by the Science and technology project of the science and technology department of Henan province (No. 212102210149).
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Liu, X., Bao, J., Meng, Y., Wang, L. (2021). An Extended TODIM Method Based on Interval-Valued Pythagorean Hesitant Fuzzy Sets and Its Utilization in Green Shipping. In: Zhang, H., Yang, Z., Zhang, Z., Wu, Z., Hao, T. (eds) Neural Computing for Advanced Applications. NCAA 2021. Communications in Computer and Information Science, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-16-5188-5_37
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