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영문 논문지

홈 홈 > 연구문헌 > 영문 논문지 > JIPS (한국정보처리학회)

JIPS (한국정보처리학회)

Current Result Document : 3,112 / 3,112

한글제목(Korean Title) New Similarity Measures of Simplified Neutrosophic Sets and Their Applications
영문제목(English Title) New Similarity Measures of Simplified Neutrosophic Sets and Their Applications
저자(Author) Chunfang Liu  
원문수록처(Citation) VOL 14 NO. 03 PP. 0790 ~ 0800 (2018. 06)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
The simplified neutrosophic set (SNS) is a generalization of fuzzy set that is designed for some practical situations in which each element has truth membership function, indeterminacy membership function and falsity membership function. In this paper, we propose a new method to construct similarity measures of single valued neutrosophic sets (SVNSs) and interval valued neutrosophic sets (IVNSs), respectively. Then we prove that the proposed formulas satisfy the axiomatic definition of the similarity measure. At last, we apply them to pattern recognition under the single valued neutrosophic environment and multi-criteria decisionmaking problems under the interval valued neutrosophic environment. The results show that our methods are effective and reasonable.
키워드(Keyword) Multi-Criteria Decision-Making   Pattern Recognition   Similarity Measure   Simplified Neutrosophic Sets  
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