期刊
INFORMATION
卷 8, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/info8040162
关键词
decision-making; single-valued neutrosophic sets; distance measure; pattern recognition; uncertainties
资金
- Maulana Azad National Fellowship - University Grant Commission [F1-17.1/2017-18/MANF-2017-18-PUN-82613]
Single-valued neutrosophic sets (SVNSs) handling the uncertainties characterized by truth, indeterminacy, and falsity membership degrees, are a more flexible way to capture uncertainty. In this paper, some new types of distance measures, overcoming the shortcomings of the existing measures, for SVNSs with two parameters are proposed along with their proofs. The various desirable relations between the proposed measures have also been derived. A comparison between the proposed and the existing measures has been performed in terms of counter-intuitive cases for showing its validity. The proposed measures have been illustrated with case studies of pattern recognition as well as medical diagnoses, along with the effect of the different parameters on the ordering of the objects.
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