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

Jun Wang (), Wuhuan Xu (), Yuan Xu (), Li Li () and Xue Feng ()
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Jun Wang: Beijing University of Chemical and Technology
Wuhuan Xu: Beijing Jiaotong University
Yuan Xu: Beijing Jiaotong University
Li Li: Beihang University
Xue Feng: Beijing Jiaotong University

A chapter in LISS 2021, 2022, pp 237-247 from Springer

Abstract: 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.

Keywords: Interval-valued q-rung dual hesitant fuzzy sets; TOPSIS; MAGDM (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8656-6_23

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DOI: 10.1007/978-981-16-8656-6_23

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