Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information

作者：Liang, Ru-xia; Wang, Jian-qiang^*; Li, Lin

来源：Neural Computing & Applications, 2018, 30(1): 241-260.

DOI：10.1007/s00521-016-2672-2

• Multi-criteria group decision-making
• Single-valued trapezoidal neutrosophic number
• Single-valued trapezoidal neutrosophic weighted
• Bonferroni mean operator
• Entropy-weighted method

Single-valued trapezoidal neutrosophic numbers (SVTNNs) are very useful tools for describing complex information, because they are able to maintain the completeness of the information and describe it accurately and comprehensively. This paper develops a method based on the single-valued trapezoidal neutrosophic normalized weighted Bonferroni mean (SVTNNWBM) operator to address multi-criteria group decision-making (MCGDM) problems. First, the limitations of existing operations for SVTNNs are discussed, after which improved operations are defined. Second, a new comparison method based on score function is proposed. Then, the entropy-weighted method is established in order to obtain objective expert weights, and the SVTNNWBM operator is proposed based on the new operations of SVTNNs. Furthermore, a single-valued trapezoidal neutrosophic MCGDM method is developed. Finally, a numerical example and comparison analysis are conducted to verify the practicality and effectiveness of the proposed approach.

• 出版日期2018-7
• 单位中南大学; 湖南大学