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Hesitant Fuzzy Linguistic MAGDM with Prioritization Relation Among Attributes and Application to Sustainability Evaluation of Ecotourism Development Practices

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Recent Developments in Intelligent Computing, Communication and Devices (ICCD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1185))

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Abstract

To effectively deal with MAGDM problems with decision hesitancy and prioritization among evaluative attributes, we develop a hesitant fuzzy linguistic approach in this paper. In the first place, the interval-valued dual-hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) is adopted to help decision makers express their evaluations more effectively. For addressing specific prioritization relation among evaluative attributes, this paper studies a prioritized weighted average operator for aggregating information in the form of IVDHF_UUBLS. Then based on the proposed operator, we further construct an approach to cope with MAGDM problems under IVDHF_UUBLS scenarios with linguistic decision hesitancy and explicit attributes’ prioritization relation. Finally, we carry out an illustrative application to sustainability evaluation of ecotourism development practices to demonstrate the developed approach.

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Acknowledgments

The authors would like to greatly thank full support by The National Social Science Fund of China (No. 17BJY159).

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Correspondence to Jun Ma .

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Zhang, J., Hong, Y., Ma, J., Qi, X. (2021). Hesitant Fuzzy Linguistic MAGDM with Prioritization Relation Among Attributes and Application to Sustainability Evaluation of Ecotourism Development Practices. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_61

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