This research work contributes significantly to the current information field by offering an
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …

In a multiple-criteria group decision-making process, it may be unrealistic to assume that all
experts are specialized in all aspects of the entire problem and can reach full agreement. To …

Multi-objective optimization problems with interval parameter (IMOPs) are among the most
critical optimization problems in practical applications. However, in contrast to deterministic …

It is meaningful for data-driven studies to detect and remove the anomaly data from a given
raw dataset. Considering the existing anomaly data detection (ADD) methods have some …

To capture collective opinions/evaluations in a collection of individual linguistic expressions,
this study proposes an approach to construct order-2 information granules by extending the …

The increment of autonomous systems has stimulated the research of new controller tuning
techniques to face the unpredictable disturbances and parametric uncertainties inherent in …

Fuzzy and non-standard fuzzy information measures act upon vague information entailed in
linguistic variables or uncertain numerical data following some goal for which they discover …

Various feedback mechanisms focus on bounded confidence in the consensus reaching
process (CRP) for group decision making (GDM) problems. However, confidence level from …

In this paper, we propose two multi-attribute group decision-making (MAGDM) algorithms
that rely on ingenious linguistic intuitionistic fuzzy (LIF) weighted Maclaurin symmetric …

Purpose Government organizations often store large amounts of data and need to choose
effective data governance service to achieve digital government. This paper aims to propose …