TY - JOUR
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
N1 - Publisher Copyright:
© 2019 Wiley Periodicals, Inc.
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
UR - https://www.scopus.com/pages/publications/85070190810
U2 - 10.1002/int.22132
DO - 10.1002/int.22132
M3 - Article
AN - SCOPUS:85070190810
SN - 0884-8173
VL - 34
SP - 2077
EP - 2103
JO - International Journal of Intelligent Systems
JF - International Journal of Intelligent Systems
IS - 9
ER -