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A Novel Multi-attribute Group Decision-Making Method Based on Interval-Valued q-rung Dual Hesitant Fuzzy Sets and TOPSIS

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LISS 2021

Part of the book series: Lecture Notes in Operations Research ((LNOR))

Abstract

This paper presents a novel multi-attribute group decision-making (MAGDM) method under interval-valued q-rung dual hesitant fuzzy environment. The interval-valued q-rung dual hesitant fuzzy sets (IVq-RDHFSs) are an effective tool to describe decision makers’ evaluation values in MAGDM procedure. We attempt to propose a new approach to solve interval-valued q-rung dual hesitant fuzzy MAGDM in this study. We extend the traditional TOPSIS method into IVq-RDHFSs and present the so-called IVq-RDHF-TOPSIS approach. In this paper, we illustrate the main steps of the IVq-RDHF-TOPSIS method. In order to demonstrate the validity of the new method, we also provide numerical example analysis.

This work is supported by Funds for First-class Discipline Construction (XK1802-5).

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Correspondence to Li Li .

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Wang, J., Xu, W., Xu, Y., Li, L., Feng, X. (2022). A Novel Multi-attribute Group Decision-Making Method Based on Interval-Valued q-rung Dual Hesitant Fuzzy Sets and TOPSIS. In: Shi, X., Bohács, G., Ma, Y., Gong, D., Shang, X. (eds) LISS 2021. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-8656-6_23

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