When an emergency occurs, effective decisions should be made in a limited time to reduce
the casualties and economic losses as much as possible. In the past decades, emergency …

The aim of this study is to examine the cost management strategies of low-carbon renewable
energy projects. This manuscript has important contributions by evaluating different cost …

This study evaluates financial innovation priorities for renewable energy investors by
generating a novel hybrid fuzzy decision-making model. First, SERVQUAL-based customer …

The purpose of this article is to develop some general aggregation operators (AOs) based
on Einstein's norm operations, to cumulate the Fermatean fuzzy data in decision‐making …

Multi-criteria group decision-making is a process in which decision makers assess the
performance of alternatives on the basis of conflicting criteria to opt the most worthy …

The notion of generalized orthopair fuzzy sets, as a natural extension of both intuitionistic
fuzzy sets and Pythagorean fuzzy sets, provides a more flexible framework for expressing …

This study represents an integrated approach consisting of AHP (analytical hierarchy
process) and TOPSIS (technique for order preference by similarity to ideal solution) in …

The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …

Pythagorean fuzzy sets (PFSs) have attracted the attention of researchers in recent years as
it is very useful in modeling uncertain information. The main aim of this study is to conduct a …