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

In: Liss 2021

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jun Wang & Wuhuan Xu & Yuan Xu & Li Li & Xue Feng, 2022. "A Novel Multi-attribute Group Decision-Making Method Based on Interval-Valued q-rung Dual Hesitant Fuzzy Sets and TOPSIS," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 237-247, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_23
    DOI: 10.1007/978-981-16-8656-6_23
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