A Novel Fuzzy Decision-Making Method Using Entropy Weights-Based Correlation Coefficients Under Intuitionistic Fuzzy Environment

被引:54
作者
Joshi, Rajesh [1 ]
Kumar, Satish [1 ]
机构
[1] Maharishi Markandeshwar Univ, Dept Math, Mullana Ambala 133207, India
基金
英国科研创新办公室;
关键词
Intuitionistic fuzzy entropy; MADM; TOPSIS; Correlation coefficients; 94A15; 94A24; 26D15; ALPHA; SETS;
D O I
10.1007/s40815-018-0538-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this communication, a new two parametric intuitionistic fuzzy entropy has been introduced and validated. Some of the properties of the proposed measure are also discussed. In addition to this, a new multiple attribute decision-making (MADM) method based on weighted correlation coefficients and the proposed IF entropy is introduced. The necessity of proposed MADM method has been reasonably established. The method is effectively explained with the help of two numerical examples, and the performance is genuinely compared with some existing MADM methods in the literature. Attribute weights play an important role in the solution of MADM problem. In this paper, two methods of obtaining attributes weights are discussed.
引用
收藏
页码:232 / 242
页数:11
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