Abstract

Intuitionistic fuzzy graphs are extensions of fuzzy graphs that preserve the dualism characteristics of fuzzy graphs and have a stronger capacity to describe ambiguity in actual decision-making issues than fuzzy graphs. In this research paper, the Laplacian energy and correlation coefficient of intuitionistic fuzzy graphs are computed for finding group decision-making problems that are supported by intuitionistic fuzzy preference relations. We propose a novel method for calculating establishments' comparative position loads by manipulating the undecided corroboration of IFPR and the correlation coefficient of one personality IFPR to the other items. As a result, we comprehend a large number of establishments in the detailed IFPR and devise a correlation coefficient process to investigate the significance of alternatives and the best of the alternatives. Finally, we present a collaborative decision-making technique in a money-investing scheme, and that idea may be devised in disparate beneficial investing schemes.

Keywords

MSC

03E72, 03B52

Cite this article

@article{cai-5936,
  author  = {Naveen Kumar Akula and Sharief Basha Shaik},
  title   = {Correlation Coefficient Measure of Intuitionistic Fuzzy Graphs with Application in Money Investing Schemes},
  journal = {Computing and Informatics},
  volume  = {42},
  number  = {2},
  pages   = {436--456},
  year    = {2023},
  issn    = {1335-9150},
  doi     = {10.31577/cai_2023_2_436}
}
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