A novel multiple-attribute group decision-making method based on q-rung orthopair fuzzy generalized power weighted aggregation operators

Yanbing Ju*, Chao Luo, Jun Ma, Aihua Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    37 Citations (Scopus)

    Abstract

    In this paper, a novel approach is developed to deal with multiple-attribute group decision-making (MAGDM) problem under q-rung orthopair fuzzy environment. Firstly, some operators have been proposed to aggregate q-rung orthopair fuzzy information, such as the q-rung orthopair fuzzy generalized power averaging (q-ROFGPA) operator, the q-rung orthopair fuzzy generalized power weighted averaging (q-ROFGPWA) operator, the q-rung orthopair fuzzy generalized power geometric (q-ROFGPG) operator, and the q-rung orthopair fuzzy generalized power weighted geometric (q-ROFGPWG) operator. In addition, some desirable properties and special cases of these operators are discussed. Second, a novel approach is developed to solve MAGDM problem under the q-rung orthopair fuzzy environment based on the proposed q-ROFGPWA and q-ROFGPWG operators. Finally, a practical example is given to illustrate the application of the proposed method, and further the sensitivity analysis and comparative analysis are carried out.

    Original languageEnglish
    Pages (from-to)2077-2103
    Number of pages27
    JournalInternational Journal of Intelligent Systems
    Volume34
    Issue number9
    DOIs
    Publication statusPublished - Sept 2019

    Keywords

    • multiple-attribute group decision-making
    • q-rung orthopair fuzzy generalized power weighted averaging operator
    • q-rung orthopair fuzzy generalized power weighted geometric operator
    • q-rung orthopair fuzzy sets

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