K Govindan, MB Jepsen - European Journal of Operational Research, 2016 - Elsevier
Multi-criteria decision analysis (MCDA) is a valuable resource within operations research and management science. Various MCDA methods have been developed over the years …
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 …
This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum, and litecoin—and the profitability of trading strategies devised upon machine learning …
H Zhang, G Kou, Y Peng - European Journal of Operational Research, 2019 - Elsevier
In a group decision-making (GDM) process, experts reach a consensus after discussion and persuasion, which requires a moderator to spend time and resource to persuade experts to …
Financial systemic risk is an important issue in economics and financial systems. Trying to detect and respond to systemic risk with growing amounts of data produced in financial …
EK Zavadskas, A Mardani, Z Turskis… - … journal of information …, 2016 - World Scientific
In recent years several previous scholars made attempts to develop, extend, propose and apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving …
Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important …
This study intends to explore humanitarian supply chain management barriers (HSCMBs) and evaluate solutions for overcoming these barriers to improve humanitarian supply chain …
Decision-making is primarily a process that involves different actors: people, groups of people, institutions and the state. As a discipline, multi-criteria decision-making has a …