文章基本信息

标题：Some New Biparametric Distance Measures on Single-Valued Neutrosophic Sets with Applications to Pattern Recognition and Medical Diagnosis
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作者：Harish Garg ; Nancy
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2017
卷号：8
期号：4
页码：162
DOI：10.3390/info8040162
语种：English
出版社：MDPI Publishing
摘要：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.
关键词：decision-making; single-valued neutrosophic sets; distance measure; pattern recognition; uncertainties decision-making ; single-valued neutrosophic sets ; distance measure ; pattern recognition ; uncertainties