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

doi:10.1002/int.22132

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

School of Management

Beijing Institute of Technology
University of International Business and Economics
Peking University

Research output: Contribution to journal › Article › peer-review

39 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 language	English
Pages (from-to)	2077-2103
Number of pages	27
Journal	International Journal of Intelligent Systems
Volume	34
Issue number	9
DOIs	https://doi.org/10.1002/int.22132
Publication status	Published - 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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10.1002/int.22132

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@article{754f80e2db944948a4e1e28810c90f96,

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

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.",

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author = "Yanbing Ju and Chao Luo and Jun Ma and Aihua Wang",

note = "Publisher Copyright: {\textcopyright} 2019 Wiley Periodicals, Inc.",

year = "2019",

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doi = "10.1002/int.22132",

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T1 - A novel multiple-attribute group decision-making method based on q-rung orthopair fuzzy generalized power weighted aggregation operators

AU - Ju, Yanbing

AU - Luo, Chao

AU - Ma, Jun

AU - Wang, Aihua

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - multiple-attribute group decision-making

KW - q-rung orthopair fuzzy generalized power weighted averaging operator

KW - q-rung orthopair fuzzy generalized power weighted geometric operator

KW - q-rung orthopair fuzzy sets

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DO - 10.1002/int.22132

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SN - 0884-8173

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JO - International Journal of Intelligent Systems

JF - International Journal of Intelligent Systems

IS - 9

ER -

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

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Keywords

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