On Green Supplier Selection Problem Utilizing Modified TOPSIS with R-norm Picture Fuzzy Discriminant Measure

被引：2

作者：

Singh, Ankush ^{[1
]}

Dhumras, Himanshu ^{[2
]}

Bajaj, Rakesh K. ^{[2
]}

机构：

[1] Jaypee Univ Informat Technol, Dept CSE & IT, Solan, HP, India

[2] Jaypee Univ Informat Technol, Dept Math, Solan, HP, India

来源：

2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT) | 2022年

关键词：

Fuzzy Information Measure; R-norm measure; Discriminant Measure; Supplier Selection; TOPSIS Decision-Making; DECISION-MAKING;

D O I：

10.1109/IMPACT55510.2022.10029080

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Picture fuzzy sets (PFSs) hold great importance when one needs to arrive to a decision in a MCDM (Multi criteria decision making) scenario, especially when the available information is inconsistent, incomplete and inexact. Through this communication, we introduce a novel concept of a new information measure called R-norm picture fuzzy discriminant measure. The proposed parametric measure then applied in the conventional TOPSIS method for solving a decision-making problem. In particular, we have applied the proposed measure and the modified TOPSIS technique to solve a green supplier selection problem. We have illustrated the effectiveness of our measure for inferring practical relationships between the various alternatives in an uncertain setting.

引用

页数：5

共 19 条

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