Crude oil, the backbone of modern industry, holds unparalleled significance as a global
energy cornerstone. Unlocking its potential hinges on effective pretreatment techniques …

Ensemble clustering refers to learning a robust and accurate consensus result from a
collection of base clustering results. Despite extensive research on this topic, it remains …

The idea of a “fuzzy set (FS)”[1] was conceived primarily to account for equivocal human
judgments when solving real-world situations. Alternately, the FSs doctrine can govern the …

With the increasing number of smartphone users, the potential of the shared power bank
industry is increasing. The shared power bank supplier selection can be regarded as a multi …

Purpose This study aims to evaluate sustainable investment policies for housing in Qatar.
Design/methodology/approach This paper proposes a new model for analyzing sustainable …

Abstract Using Multi-Criteria Decision Analysis (MCDA) techniques, it is possible to
thoroughly examine all available options and determine the most desirable ones. However …

Complex Fermatean fuzzy (CFF) set is a powerful mathematical model that handles
uncertain data effectively. However, existing multi-criteria decision-making (MCDM) methods …

In the process of decision-making, it usually applies 2-dimension linguistic fuzzy variable
(2DLFV) to describe the uncertainty caused by the decision objects and the decision …

Traditional approaches to group decision-making (GDM) often assume that decision-makers
(DMs) are perfectly rational, which neglects the psychological attitudes exhibited by DMs …

Faced with the increasing complexity and uncertainty of decision-making information,
interval-valued Fermatean hesitant fuzzy sets (IVFHFSs) were presented as a novel …