To encompass decision data vagueness, many researchers generalized multi-criteria
decision-making (MCDM) methods in certain environment into fuzzy multi-criteria decision …

Many researches generalized classical multi-criteria decision-making (MCDM) methods
under uncertain environment for fuzzy multi-criteria decision-making (FMCDM), such that …

Considering the vagueness frequently representing in decision data due to the lack of
complete information and the ambiguity arising from the qualitative judgment of decision …

In the past, approaches often generalized classical multi-criteria decision-making (MCDM)
methods under fuzzy environment to solve fuzzy multi-criteria decision-making (FMCDM) …

The existing crisp and fuzzy multicriteria decision making (MCDM) methods exhibit
consistency, complexity, and reliability issues. To address these challenges, we propose a …

This paper proposes a fuzzy best-worst method (BWM), called the GITrF BWM, based on
generalized interval-valued trapezoidal fuzzy (GITrF) numbers (GITrFNs) for multi-criteria …

Generally, classical multi-criteria decision-making (MCDM) methods were extended to
encompass uncertainty and vagueness of messages under fuzzy environment for solving …

The use of fuzzy numbers (FNs) for managing uncertainty in multi-criteria decision analysis
(MCDA) demands a thorough exploring multi-criteria decision problem under fuzzy …

This paper presents a novel fuzzy multiple criteria decision making (MCDM) based on the
concepts of ideal and anti-ideal points. The concepts of fuzzy set theory and hierarchical …

MCDM is considered as a complex decision-making tool involving both quantitative and
qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to …