Improved possibility degree method for ranking intuitionistic fuzzy numbers and their application in multiattribute decision-making

被引：0
|
作者：
Harish Garg
Kamal Kumar
机构：
[1] Thapar Institute of Engineering and Technology (Deemed University),School of Mathematics
来源：
Granular Computing | 2019年 / 4卷
关键词：
Multiattribute decision-making; Possibility degree measure; Intuitionistic fuzzy set; Informative measures;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In the present paper, we define an improved possibility degree method to rank the different intuitionistic fuzzy numbers (IFNs). To achieve it, we first present some shortcomings of the existing possibility degree method and score function of IFNs. The existing shortcomings are overcome by proposing a new possibility degree measure for IFNs. The desirable properties of it are analyzed in details. Afterward, based on proposed possibility degree measure, a decision-making approach presents to solve the multiattribute decision-making (MADM) problem under the intuitionistic fuzzy set environment. Finally, a real-life case is studied to manifest the practicability and feasibility of the proposed decision-making method.
引用
收藏
页码：237 / 247
页数：10
相关论文
共 50 条
12345