A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets

By Jun Ye. Journal of Intelligent & Fuzzy Systems, 2014

686 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/793784f7144bd13f9bed8218b1addd0b7f1a49d6

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In Control and Systems Engineering

In Management Science and Operations Research

Citations in the corpus

Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean (2014, methodology): “In addition, in order to further verify the effective of the proposed method, we also utilized this method to solve the illustrate example developed by Ye [21], and we can get the same ranking result.”
Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, methodology): “(2) In addition, the similarity measure for SNSs in [30] on the basis of the operations does not satisfy any cases.”
Hybrid Binary Logarithm Similarity Measure for MAGDM Problems under SVNS Assessments (2018, background): “In mathematics, the logarithm of the form log2 , x > 0 is called binary logarithm function [50].”
TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment (2014, methodology): “Then the aggregated neutrosophic decision matrix can be obtained by fusing all the decision makers’ opinion with the help of aggregation operator [17] as in Table 5.”
Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems (2016, methodology): “Although there is no consensus on the best way to sequence SNNs, when compared to the MCDM method for SNSs (Majumdar & Samant, 2014; Ye, 2013, 2014b), the illustrative example showed that the ﬁnal result produced by the method proposed in this paper is more precise and reliable than the re-sults…”