An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges

H Zhang, S Zhao, G Kou, CC Li, Y Dong, F Herrera - Information Fusion, 2020 - Elsevier
Consensus reaching process is a very powerful decision tool to eliminate the preference
conflict in group decision making. In general, the consensus is achieved by the decision …

[HTML][HTML] From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of …

M Tang, H Liao - Omega, 2021 - Elsevier
Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

[HTML][HTML] Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects

G Kou, S Yüksel, H Dinçer - Applied Energy, 2022 - Elsevier
The transportation sector is also of great importance in terms of carbon emission problem.
Significant amount of carbon dioxide is emitted into the atmosphere due to the use of fossil …

[HTML][HTML] Consensus reaching process in large-scale group decision making based on bounded confidence and social network

Y Li, G Kou, G Li, Y Peng - European Journal of Operational Research, 2022 - Elsevier
Consensus reaching process (CRP) is a dynamic and interactive method used to reach a
group decision. Now that social networks and mobile internet are prominent features in daily …

[HTML][HTML] Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: an application in financial inclusion

X Chao, G Kou, Y Peng, EH Viedma - European Journal of Operational …, 2021 - Elsevier
Non-cooperative behavior is a common situation in large-scale group decision-making
(LSGDM) problems. In addition, decision makers in LSGDM often use different preference …

[HTML][HTML] Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

G Kou, P Yang, Y Peng, F Xiao, Y Chen… - Applied Soft Computing, 2020 - Elsevier
The evaluation of feature selection methods for text classification with small sample datasets
must consider classification performance, stability, and efficiency. It is, thus, a multiple …

BAKMP-IoMT: Design of blockchain enabled authenticated key management protocol for internet of medical things deployment

N Garg, M Wazid, AK Das, DP Singh… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) is a kind of connected infrastructure of smart medical
devices along with software applications, health systems and services. These medical …

[HTML][HTML] Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of …

A Mikhaylov, H Dinçer, S Yüksel - Financial Innovation, 2023 - Springer
The purpose of the paper is to identify the factors of financial development that have the
greatest impact on open innovation in 7 emerging countries. The analysis was performed …

Evaluating solutions to overcome humanitarian supply chain management barriers: A hybrid fuzzy SWARA–Fuzzy WASPAS approach

S Agarwal, R Kant, R Shankar - International Journal of Disaster Risk …, 2020 - Elsevier
This study intends to explore humanitarian supply chain management barriers (HSCMBs)
and evaluate solutions for overcoming these barriers to improve humanitarian supply chain …

A concentration ratio for nonlinear best worst method

J Rezaei - International Journal of Information Technology & …, 2020 - World Scientific
Best Worst Method (BWM) is a multi-criteria decision-making method that is based on a
structured pairwise comparison system. It uses two pairwise comparison vectors (best-to …