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 operator.

Keywords

• neutrosophic cubic set
• decision making
• multi attribute decision making
• multi expert multi attribute decision making