Q Ding, YM Wang, M Goh - Computers & Industrial Engineering, 2021 - Elsevier
With the recent Covid-19 outbreak, group emergency decision-making (GEDM), as a new management model to pursue both social stability and decrease the negative impact of …
A large-scale group decision-making (LGDM) problem is studied from the perspective of multi-stage hesitant fuzzy linguistic term sets (MHFLTSs). Solving an LGDM problem …
J Wang, X Ma, J Dai, J Zhan - Information Sciences, 2021 - Elsevier
The paper explores a novel way to solve the multi-attribute decision-making issues under the hesitant fuzzy environment (HF-MADM) with three-way decision (3WD) theory. Firstly …
C Jin, J Mi, F Li, M Liang - Information Sciences, 2022 - Elsevier
In this study, the fusion of probabilistic hesitant fuzzy sets (PHFSs) and rough sets is explored and applied to uncertain multi-criteria decision-making (MCDM). First, to reduce …
J Wang, X Ma, Z Xu, J Zhan - Information Sciences, 2021 - Elsevier
In decision making processes, an expert with hesitant attitudes may experience difficulties when evaluating alternatives via a single assessment value. By allowing the membership …
Z Lin, C Huang, M Lin - Mathematical Problems in Engineering, 2021 - Wiley Online Library
Distributed stream processing frameworks (DSPFs) are the vital engine, which can handle real‐time data processing and analytics for IoT applications. How to prioritize DSPFs and …
F Jin, Y Zhang, H Garg, J Liu, J Chen - Applied Intelligence, 2022 - Springer
With the rapid development of the economy, the competition among enterprises is increasingly intensifying and the internal contradictions of the enterprise are prominent …
G Zhang, J Wang, T Wang - Expert Systems, 2019 - Wiley Online Library
Probabilistic interval‐valued hesitant fuzzy sets (PIV‐HFSs) are suitable for aggregating information from different groups because the probabilistic information of all the groups can …
C Song, Z Xu, Y Zhang, X Wang - Applied Intelligence, 2020 - Springer
Most traditional decision making methods cannot deal with intensive uncertain data that varies with time effectively, and they only derive the static risk analysis by different …