Soft Computing

, Volume 21, Issue 3, pp 817–825

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

Methodologies and Application

DOI: 10.1007/s00500-015-1818-y

Cite this article as:
Ye, J. Soft Comput (2017) 21: 817. doi:10.1007/s00500-015-1818-y

Abstract

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.

Keywords

Single-valued neutrosophic set Cotangent similarity measure Fault diagnosis Steam turbine 

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Electrical and Information EngineeringShaoxing UniversityShaoxingPeople’s Republic of China

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