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Hatami-Marbini, A. and Kangi, F. (2016) An Extension of Fuzzy TOPSIS for a Group Decision Making with an Application to Tehran Stock Exchange. Applied Soft Computing, 52, 1084-1097.

has been cited by the following article:

  • TITLE: Exploration of Elements Affecting the Main Properties of Screw Steel

    AUTHORS: Siwen Li, Qiaozhi Sang, Shuqi Wang, Dianxuan Gong

    KEYWORDS: Screw Steel, Properties, Grey Prediction, Correlation Analysis

    JOURNAL NAME: Open Journal of Applied Sciences, Vol.8 No.5, May 31, 2018

    ABSTRACT: In order to obtain the main and secondary factors affecting the properties of the screw steel and its correlation, this text constructed a TOPSIS (Technique for order performance by similarity to ideal solution) evaluation system based on entropy weight. First of all, three properties indexes of deformed steel bar are selected: the yield strength, tensile strength and elongation at break after breaking. Secondly, we defined a comprehensive index C which is for measuring the property of thread steel by using TOPSIS method, and then the correlation degree of various chemical elements and comprehensive index C were analyzed. According to the principle that the bigger of coefficient correlation, the greater impact, to draw a conclusion: the main elements that affect the properties of deformed steel bar are C, Ceq, Si and Cr, the secondary factors are Mn, Mo, ALT, Ni, Cu, Cr, S, P and V. Finally, the correlation between various elements was studied by means of correlation analysis, where there was a significant positive correlation between Cu and Cr.