In today's data-driven landscape‎,‎ to ensure continuous survival and betterment‎,‎ the
implementation of a robust Big Data Governance Framework (BDGF) is imperative for …

In today's data-driven landscape, to ensure continuous survival and betterment, the
implementation of a robust Big Data Governance Framework (BDGF) is imperative for …

The proposed study introduces innovative Maclaurin symmetrical mean aggregation
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …

This article presents a novel concept of complex cubic picture fuzzy sets (CCPFS) and
introduces one more new idea of complex interval-valued picture fuzzy sets (CIVPFS) as …

The digital economy has experienced an unheard-of surge in the twenty-first century,
revolutionizing how businesses run, societies function, and people interact. The utilization of …

In this paper, we develop some new operational laws and their corresponding aggregation
operators for picture fuzzy sets (PFSs). PFS is a powerful tool to deal with vagueness, which …

Big Data's role in organizational decision-making has become increasingly important during
the last decade. This is due to, inter alia, a massive increase in the amount of data in the …

The recent explosion in ICT and digital data has led organizations, both private and public,
to efficient decision-making. Nowadays organizations can store huge amounts of data …

Abstract Multiple Attribute Decision Making (MADM) is a fundamental concept in the scope
of the decision sciences, serving as a structured method for evaluating and selecting the …

In this paper, the interval-valued picture fuzzy geometric Bonferroni mean (IVPFGBM) and
interval-valued picture fuzzy weighted geometric Bonferroni mean (IVPFWGBM) under …