Unification of some generalized aggregation operators in neutrosophic cubic environment and its applications in multi expert decision-making analysis

Abstract

This manuscript aims to provide a platform that merges different aggregation
operators into a concise and computationally trackable single aggregation operator. This
generalization can produce numerous aggregation operators while the complex framework
can be streamlined and analyzed more efficiently. Generalized aggregation operators have
become increasingly important in decision-making (DM) theory due to the growing
complexity and diversity of DM problems.
These unified aggregation operators are furnished upon numerical examples from
MEMADM and MADM problems as applications. Finally, a comparative analysis with some
existing methods is conducted to examine the properties and behavior of the proposed
aggregation operato