Affiliations: [a] School of Business and Liangshan Institute, Lishui University, Lishui Zhejiang, China
| [b] Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan
Correspondence:
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Corresponding author. Syed Zaheer Abbas, Department of Mathematics and Statistics, Hazara University, Mansehra 21300, Pakistan. E-mail: zaheer@hu.edu.pk.
Abstract: To deal with the ambiguity in real-world problems, researchers strive to obtain extensions to classical set theory. They introduced ideas like fuzzy set theory, spherical, intuitionistic, and Pythagorean fuzzy sets. In comparison to fuzzy sets, spherical fuzzy sets are more realistic at handling uncertainty. Fundamentals are classified in Spherical Fuzzy Set according to an attribute, and each feature has a variety of criteria. In this study, we have created a new extended algebraic structure called Confidence Spherical Fuzzy Aggregation Operators by applying the idea of Confidence Levels to the already-existing Spherical Fuzzy Aggregation Operators. We have created a Confidence Spherical Fuzzy Aggregation Operators-based end-product. We demonstrated various intriguing characteristics of Confidence Spherical Fuzzy Aggregation Operators, including operational laws. The study is validated by addressing the decision-making processes.
