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Issue:Elliptic intuitionistic fuzzy Bonferroni mean operator and its application in MCDM

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Title of paper: Elliptic intuitionistic fuzzy Bonferroni mean operator and its application in MCDM
Author(s):
K. M. Arifmohammed     0000-0002-3770-0946
Department of Agricultural Economics, Vanavarayar Institute of Agriculture, India
arifjmc9006@gmail.com
S. Krishnaprakash     0000-0003-3415-4457
Department of Mathematics, Sri Krishna College of Engineering and Technology, India
mskrishnaprakash@gmail.com
S. Gomathi     0009-0006-9771-5310
Department of Mathematics, Dr. Mahalingam College of Engineering and Technology, India
gomathiprakash2013@gmail.com
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 1, pages 80–98
DOI: https://doi.org/10.7546/nifs.2025.31.1.80-98
Download:  PDF (245  Kb, File info)
Abstract: The representation of elliptic intuitionistic fuzzy sets employs an elliptic framework to depict uncertainty across membership and non-membership functions, effectively capturing the inherent vagueness in these degrees. In this research article, an innovative approach is explored to tackle the critical challenge of personnel selection in today's fiercely competitive markets. Introducing a novel elliptic intuitionistic fuzzy multi criteria decision making (MCDM) framework, the paper incorporates the Bonferroni mean operator to overcome the limitations of traditional averaging methods. This elliptic intuitionistic fuzzy MCDM approach provides a comprehensive representation of collective opinions within an elliptic framework. Leveraging elliptic intuitionistic fuzzy sets proves effective in managing the uncertainties associated with personnel selection.
Keywords: Intuitionistic fuzzy set, Elliptic intuitionistic fuzzy set, Bonferroni mean operator, Elliptic intuitionistic fuzzy Bonferroni mean operator.
AMS Classification: 03E72, 90B50.
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