Association Coefficient Measure of Intuitionistic Fuzzy Graphs with Application in Selecting Best Electric Scooter for Marketing Executives

Abstract

Group decision-making is a technique wherein professionals rank and select the most acceptable ones based on recognised criteria. The objective of the present study was to establish a strategy for solving issues with Laplacian energy and association coefficient measures of intuitionistic fuzzy graphs through group decision-making. Initially, making use of Laplacian energy, the load of each criterion is determined, and the entire criterion load vector is then computed by averaging the determined loads. The substitutes are then ranked using the association coefficient measure linked to every criterion. Finally, we used the proposed technique wherein professionals rank and select the most acceptable based on recognised criteria with real-time application.

Correlation Coefficient Measure of Intuitionistic Fuzzy Graphs with Application in Money Investing Schemes

“…Ye [24] proposed a technique in GDMP based on weighted correlation coefficients using LE is presented for particular situations when the knowledge about criterion weights for alternatives is totally unknown. Also, several statistical methods have been executed by Akula and Sharief Basha [25], Zeng and Li [26], Mitchell [27], Huang ad Guo [28], Szmidt and Kacprzyk [29]. Garg and Rani [30], Khaleie and Fasanghari [31], etc.…”