H Garg, SM Chen - Information Sciences, 2020 - Elsevier
Abstract q-rung orthopair fuzzy sets (q-ROFSs) are prominent ideas to express fuzzy data in decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the …
Q Mou, Z Xu, H Liao - Information Sciences, 2016 - Elsevier
In order to extend the best-worst method (BWM) to uncertain circumstances, in this paper, we propose an intuitionistic fuzzy multiplicative best-worst method (IFMBWM) with …
Y Meng, H Wu, W Zhao, W Chen, H Dinçer… - Financial Innovation, 2021 - Springer
This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects. In this framework, a …
P Liu, P Wang, W Pedrycz - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
The use of incomplete probabilistic linguistic term sets (InPLTSs) can enrich the flexibility of qualitative decision-making information expression, especially in decision-making situations …
Managers face with many decision-making problems that affect directly viability of their organization. Group decision-making (GDM) can help the managers to make more accurate …
Y Song, G Li - Journal of the Operational Research Society, 2019 - Taylor & Francis
A large amount of stakeholders take part in the decision-making process, usually called a large-scale group decision-making (LGDM) problem. Some stakeholders may only provide …
J Gao, Z Xu, Z Liang, H Liao - Knowledge-Based Systems, 2019 - Elsevier
In emergency decision making, it can be difficult for decision-makers (DMs) to identify all possible scenarios due to a lack of information and the evolution of emergency situations …
Z Wu, S Huang, J Xu - European Journal of Operational Research, 2019 - Elsevier
In this paper, a systematic optimization framework is developed to address the individual consistency and group consensus issues in decision making problems that involve human …
R Yuan, Z Wu, J Tu - Fuzzy Sets and Systems, 2023 - Elsevier
Incomplete preferences have become increasingly common in light of the redundancy of information and time-related pressures. Incomplete fuzzy preference relations (IFPRs) have …