Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making

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

463 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3a7ba91c469b441ae397635070b7a5d0f58366d4

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Citations in the corpus

A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets (2014, unknown): “Then, Ye [7] defined the Hamming and Euclidean distances between INSs and developed the similarity measures between INSs based on the relationship between similarity measures and distances and a multicriteria decision-making method using the similarity measures between INSs in interval neutrosophic ”
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…”
Single valued neutrosophic cross-entropy for multicriteria decision making problems (2014, background): “This assumption is very important in many applications such as information fusion in which the data are combined from different sensors.”
Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, methodology): “In the similarity measures in [33], the distances between INSs are calculated firstly and the difference was amplified in the results because of criteria weights.”
Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean (2014, methodology): “Ye [20] defined the similarity measures between INSs on the basis of the Hamming and Euclidean distances, and a MADM method based on the similarity degree of INFS is proposed.”
Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses (2015, background): “Ye [8] also presented the Hamming and Euclidean distances between INSs and their similarity measures and applied them to ultiple attribute decision-making problems with interval neutrosophic information.”