Approach to Multi-Attribute Decision Making Based on Spherical Fuzzy Einstein Z-Number Aggregation Information

In this study, we first introduced spherical fuzzy Z-numbers (SFZNs) and developed some basic operational rules. SFZNs can be used effectively to make truly ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decision-making data. Furthermore, we developed some spherical fuzzy Einstein Z-number weighted averaging and geometric aggregation operators along with their important axioms. Finally, we developed algorithms based on the proposed operators to tackle uncertain information in decision-making problems. Additionally, I developed a relative comparison and discussion analysis to demonstrate the practicability of the technique.