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

被引:0
|
作者
Rajesh Joshi
Satish Kumar
机构
[1] Maharishi Markandeshwar University,Department of Mathematics
来源
International Journal of Fuzzy Systems | 2019年 / 21卷
关键词
Intuitionistic fuzzy entropy; MADM; TOPSIS; Correlation coefficients; 94A15; 94A24; 26D15;
D O I
暂无
中图分类号
学科分类号
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:10
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