Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research

JK Hentzen, A Hoffmann, R Dolan… - International Journal of …, 2022 - emerald.com
Purpose The objective of this study is to provide a systematic review of the literature on
artificial intelligence (AI) in customer-facing financial services, providing an overview of …

Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014

A Mardani, A Jusoh, K Nor, Z Khalifah… - Economic research …, 2015 - hrcak.srce.hr
Sažetak Multiple criteria decision-making (MCDM) is considered as a complex decision
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …

Development of TOPSIS method to solve complicated decision-making problems—An overview on developments from 2000 to 2015

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 …

Forecasting the price of Bitcoin using deep learning

M Liu, G Li, J Li, X Zhu, Y Yao - Finance research letters, 2021 - Elsevier
After constructing a feature system with 40 determinants that affect the price of Bitcoin
considering aspects of the cryptocurrency market, public attention, and the macroeconomic …

Classification methods applied to credit scoring: Systematic review and overall comparison

F Louzada, A Ara, GB Fernandes - Surveys in Operations Research and …, 2016 - Elsevier
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …

A modified TOPSIS with a different ranking index

T Kuo - European journal of operational research, 2017 - Elsevier
As a tool for decision analysis, the TOPSIS (Technique for Order Preference by Similarity to
Ideal Solution) attempts to choose alternative that should simultaneously have the closest …

Review of bankruptcy prediction using machine learning and deep learning techniques

Y Qu, P Quan, M Lei, Y Shi - Procedia Computer Science, 2019 - Elsevier
Bankruptcy prediction has long been a significant issue in finance and management
science, which attracts the attention of researchers and practitioners. With the great …

A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability

MB Gorzałczany, F Rudziński - Applied Soft Computing, 2016 - Elsevier
Credit classification is an important component of critical financial decision making tasks
such as credit scoring and bankruptcy prediction. Credit classification methods are usually …

Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability

H Zhao, S Guo - Sustainability, 2014 - mdpi.com
With the growing worldwide awareness of environmental protection and sustainable
development, green purchasing has become an important issue for companies to gain …

Financial fraud detection using the related-party transaction knowledge graph

X Mao, H Sun, X Zhu, J Li - Procedia Computer Science, 2022 - Elsevier
Financial fraud detection has gained constant attention from researchers, practitioners, and
regulators. Because of its concealment and ease of manipulation, related-party transactions …