Next Article in Journal
Are Environmental Interventions Targeting Skin Cancer Prevention among Children and Adolescents Effective? A Systematic Review
Next Article in Special Issue
A Framework to Understand the Progression of Cardiovascular Disease for Type 2 Diabetes Mellitus Patients Using a Network Approach
Previous Article in Journal
Sugarcane Bagasse as an Efficient Biosorbent for Methylene Blue Removal: Kinetics, Isotherms and Thermodynamics
Previous Article in Special Issue
Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory
Open AccessArticle

VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products

by Hui Gao 1, Linggang Ran 2,*, Guiwu Wei 1,*, Cun Wei 3 and Jiang Wu 3
1
School of Business, Sichuan Normal University, Chengdu 610101, China
2
School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China
3
School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(2), 525; https://doi.org/10.3390/ijerph17020525
Received: 19 December 2019 / Revised: 3 January 2020 / Accepted: 6 January 2020 / Published: 14 January 2020
(This article belongs to the Special Issue Network Analytics in Healthcare Decision Making)
The VIKOR model has been considered a viable tool for many decision-making applications in the past few years, given the advantages of considering the compromise between maximizing the utility of group and minimizing personal regrets. The q-rung interval-valued orthopair fuzzy set (q-RIVOFS) is a generalization of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS) and has emerged to solve more complex and uncertain decision making problems which IFS and PFS cannot handle. In this manuscript, the key innovation is to combine the traditional VIKOR model with q-RIVOFS to develop the q-rung interval-valued orthopair fuzzy VIKOR model. In the new developed model, to express more information, the attribute’s values in MAGDM problems are depicted by q-RIVOFNs. First of all, some basic theories and aggregation operators of q-RIVOFNs are simply introduced. Then we develop the origin VIKOR model to q-RIVOFS environment and briefly express the computing steps of this new established model. Thereafter, the effectiveness of the model is verified by an example of supplier selection of medical consumer products and through comparative analysis, the superiority of the new method is further illustrated. View Full-Text
Keywords: multiple attribute group decision making (MAGDM); q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs); VIKOR method; q-RIVOF-VIKOR model; supplier selection; medical consumption products multiple attribute group decision making (MAGDM); q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs); VIKOR method; q-RIVOF-VIKOR model; supplier selection; medical consumption products
MDPI and ACS Style

Gao, H.; Ran, L.; Wei, G.; Wei, C.; Wu, J. VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products. Int. J. Environ. Res. Public Health 2020, 17, 525.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop