Work

Models for MADM With 2-Tuple Linguistic Neutrosophic Dombi Bonferroni Mean Operators

Year: 2019

Type: article

Abstract: The Dombi t-norm and Dombi t-conorm operations, which have the advantages of describing decision making information flexibly by using the general parameter, can be valid to deal with actual multiple attribute decision making (MADM) problems. Motivated by the basic Bonferroni mean (BM) operator, some novel Dombi Bonferroni mean (DBM) operators and Dombi geometric Bonferroni mean (DGBM) operators are developed to aggregate 2-tuple linguistic neutrosophic information in our manuscript. Obviously, some precious properties and numerical examples are given to testify the effective and scientific of these operators. Finally, the green supplier selection in green supply chain management is taken as an example to verify the proposed methods.

Source: IEEE Access

DOI: 10.1109/access.2019.2930324

Authors: Guiwu Wei, Jiang Wu, Cun Wei, Jie Wang, Jianping Lu

Institutions: Sichuan Normal University, Southwestern University of Finance and Economics

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China