Applying Fuzzy Multiple-Attribute Decision Making Based on Set-pair Analysis with Triangular Fuzzy Number for Decent Homes Distribution Problem

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple-Criteria Group Decision Making Problems

“…Future works can utilize our proposed TFNNs-MABAC method to risk assessment for MCGDM cases, such as [45][46][47][48][49][50], many other uncertain and fuzzy circumstances [51][52][53][54][55][56][57][58][59][60]. The neutrosophic sets, such as [61][62][63][64][65][66][67][68][69], can be many possible chances to improve our proposed MABAC method for further studies.…”

FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform

“…The proposed FedHealthFog architecture presents challenges related to uncertain and ambiguous information, which in turn offer potential for enhancing data quality management, risk monitoring, decision-making analytics [ [38] , [39] , [40] ], transparency, and continuous learning [ 41 , 42 ]. Future research should focus on utilizing these opportunities to enhance the framework for effectively addressing uncertainty in the healthcare industry [ 43 ]. Additionally, it is imperative to build a structure for ongoing innovations.…”

On SIR-based MCDM approach: Selecting a charcoal firm using hybrid fuzzy number on a Triple Vague structure

“…R. E. Bellman and L. A. Zadeh [1] first applied fuzzy logic to decision-making; it immediately emerged as one of the most crucial topics. I. Irvanizam et al [9] proposed a model for fuzzy multi-attribute decision-making, employing set-pair analysis. This model was designed to tackle a distribution problem by incorporating triangular fuzzy numbers for both alternative values and criteria weights.…”