期刊
NEURAL COMPUTING & APPLICATIONS
卷 28, 期 5, 页码 1163-1176出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00521-015-2125-3
关键词
Neutrosophic set; Single-valued neutrosophic set; Interval neutrosophic set; Similarity measure; Hybrid vector similarity measure; Multi-attribute decision making
In this paper, we propose new vector similarity measures of single-valued and interval neutrosophic sets by hybridizing the concepts of Dice and cosine similarity measures. We present their applications in multi-attribute decision making under neutrosophic environment. We use these similarity measures to find out the best alternative by determining the similarity measure values between the ideal alternative and each alternative. The results of the proposed similarity measures have been validated by comparing with other existing similarity measures reported in the literature for multi-attribute decision making. The main thrust of the proposed similarity measures will be in the field of practical decision making, medical diagnosis, pattern recognition, data mining, clustering analysis, etc.
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