A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information

作者：Liang, Ru-xia; Wang, Jian-qiang; Zhang, Hong-yu^*

来源：Neural Computing & Applications, 2018, 30(11): 3383-3398.

DOI：10.1007/s00521-017-2925-8

• Multi-criteria decision-making
• Single-valued trapezoidal neutrosophic preference relations
• Aggregation operators
• Completely consistent
• Acceptably consistent

Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decision-making problems. Preference relations represent a practical tool for presenting decision makers' preference information regarding various alternatives. The purpose of this paper is to propose single-valued trapezoidal neutrosophic preference relations (SVTNPRs) as a strategy for tackling multi-criteria decision-making problems. First, this paper briefly reviews basic concepts about neutrosophic sets and SVTNNs and defines a new comparison method and new operations for SVTNNs. Next, two aggregation operators, the single-valued trapezoidal neutrosophic weighted arithmetic average operator and the single-valued trapezoidal neutrosophic weighted geometric average operator, are proposed for applications in information fusion. Then, this paper discusses the definitions of completely consistent SVTNPRs and acceptably consistent SVTNPRs. Finally, we outline a decision-making method based on SVTNPRs to address green supplier selection problems, and we conduct a comparison study and discussion to illustrate the rationality and effectiveness of the decision-making method.

• 出版日期2018-12
• 单位中南大学