Review of multi-criteria decision-making methods in finance using explainable artificial intelligence
J Černevičienė, A Kabašinskas - Frontiers in artificial intelligence, 2022 - frontiersin.org
The influence of Artificial Intelligence is growing, as is the need to make it as explainable as
possible. Explainability is one of the main obstacles that AI faces today on the way to more …
possible. Explainability is one of the main obstacles that AI faces today on the way to more …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
Over the last decades, the academic and professional communities have paid much
attention toward the use of multi-criteria decision-making methods in a range of business …
attention toward the use of multi-criteria decision-making methods in a range of business …
Enriching the green economy through sustainable investments: An ESG-based credit rating model for green financing
PK Roy - Journal of Cleaner Production, 2023 - Elsevier
Environmental, social, and governance (ESG) measures have grown significantly as
sustainable investment has become a key driver of capital allocation. Sustainable …
sustainable investment has become a key driver of capital allocation. Sustainable …
Default prediction in P2P lending from high-dimensional data based on machine learning
J Zhou, W Li, J Wang, S Ding, C ** an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C
Financial institutions employ credit rating systems to classify new borrowers, set loan terms,
and determine collateral requirements. Small and medium-sized businesses (SMEs) are …
and determine collateral requirements. Small and medium-sized businesses (SMEs) are …
A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS
Small-and medium-sized enterprises (SMEs) have a crucial influence on the economic
development of every nation, but access to formal finance remains a barrier. Similarly …
development of every nation, but access to formal finance remains a barrier. Similarly …
A credit scoring model for SMEs using AHP and TOPSIS
Abstract Small and Medium Enterprises (SMEs) have played a significant role in the
development of any economy. However, easy access to finance from financial institutions is …
development of any economy. However, easy access to finance from financial institutions is …
Develo** a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS
Sustainability has emerged as a dominating paradigm across global institutions as a critical
component for their prospects. Organisations all across the globe must commit to strengthen …
component for their prospects. Organisations all across the globe must commit to strengthen …
[PDF][PDF] Forecasting the risk of the resource demand for dairy farms basing on machine learning
The work supplies analysis of the conditions of use of the intellectual systems of support for
managerial decision making in agrarian production. The authors argue the expediency of …
managerial decision making in agrarian production. The authors argue the expediency of …