Journal
NEURAL COMPUTING & APPLICATIONS
Volume 30, Issue 1, Pages 241-260Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00521-016-2672-2
Keywords
Multi-criteria group decision-making; Single-valued trapezoidal neutrosophic number; Single-valued trapezoidal neutrosophic weighted; Bonferroni mean operator; Entropy-weighted method
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Funding
- National Natural Science Foundation of China [71571193]
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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.
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