Work

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

Year: 2019

Type: article

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.

Source: International Journal of Intelligent Systems

DOI: 10.1002/int.22132

Authors: Yanbing Ju, Chao Luo, Jun Ma, Aihua Wang

Institutions: Beijing Institute of Technology, University of International Business and Economics, Peking University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Program for New Century Excellent Talents in University