Some interval-valued q-rung orthopair weighted averaging operators and their applications to multiple-attribute decision making

Ju Y.; Luo C.; Ma J.; Gao H.; Santibanez Gonzalez E.D.R.; Wang A.

Abstract

Q-rung orthopair fuzzy sets (q-ROFSs), initially proposed by Yager, are a new way to reflect uncertain information. The existing intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets are special cases of the q-ROFSs. However, due to insufficiency in available information, it is difficult for decision makers to exactly express the membership and nonmembership degrees by crisp numbers, and interval membership degree and interval nonmembership degree are good choices. In this paper, we propose the concept of interval-valued q-rung orthopair fuzzy set (IVq-ROFS) based on the ideas of q-ROFSs and some operational laws of q-rung orthopair fuzzy numbers (q-ROFNs). Then, some interval-valued q-rung orthopair weighted averaging operators are presented based on the given operational laws of q-ROFNs. Further, based on these operators, we develop a novel approach to solve multiple-attribute decision making (MADM) problems under interval-valued q-rung orthopair fuzzy environment. Finally, a numerical example is provided to illustrate the application of the proposed method, and the sensitivity analysis is further carried out for the parameters.

Más información

Título según WOS: Some interval-valued q-rung orthopair weighted averaging operators and their applications to multiple-attribute decision making
Título según SCOPUS: Some interval-valued q-rung orthopair weighted averaging operators and their applications to multiple-attribute decision making
Título de la Revista: INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volumen: 34
Número: 10
Editorial: Wiley
Fecha de publicación: 2019
Página de inicio: 2584
Página final: 2606
Idioma: English
DOI:

10.1002/int.22163

Notas: ISI, SCOPUS