文献类型：期刊文献

英文题名：Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine

作者：Ye, Jun[1]

机构：[1]Shaoxing Univ, Dept Elect & Informat Engn, 508 Huancheng West Rd, Shaoxing 312000, Zhejiang, Peoples R China

年份：2017

卷号：21

期号：3

起止页码：817

外文期刊名：SOFT COMPUTING

收录：SCI-EXPANDED(收录号：WOS:000394317500019)、、EI(收录号：20153201157703)、Scopus(收录号：2-s2.0-84938800649)、WOS

语种：英文

外文关键词：Single-valued neutrosophic set; Cotangent similarity measure; Fault diagnosis; Steam turbine

外文摘要：Similarity measure is an important tool in pattern recognition and fault diagnosis. This paper proposes two cotangent similarity measures for single-valued neutrosophic sets (SVNSs) based on cotangent function. Then, the weighted cotangent similarity measures are introduced by considering the importance of each element. Moreover, by the comparison between the cotangent similarity measures of SVNSs and existing cosine similarity measure of SVNSs, the developed cotangent similarity measures demonstrate their advantages and rationality and in some cases can overcome some disadvantages of the cosine similarity measure defined in vector space. Finally, the cotangent similarity measures are applied to the fault diagnosis of steam turbine. The proposed fault diagnosis method demonstrates its effectiveness and rationality by the comparative analysis with the cosine similarity measure in the fault diagnosis of steam turbine.