Credit risk is the most significant risk by impact for any bank and financial institution.
Accurate credit risk assessment affects an organisation's balance sheet and income …

The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

Three-way granular computing is a paradigm of thinking and information processing in three
granules. We introduce a framework of three-way granular computing based on a hexagon …

Conflict analysis aims to identify the intrinsic reasons and find a feasible consensus strategy
for a conflict situation. Rough set theory was used to study conflict analysis decision-making …

The notion of hesitant fuzzy linguistic term sets (HFLTSs), which enables experts to utilize a
few possible linguistic terms to evaluate varieties of common qualitative information, plays a …

Deep neural network models have achieved remarkable results in sentiment classification.
Traditional feature-based methods perform slightly worse than deep learning methods in …

There has been significant research into reject inference, with several statistical methods
and machine learning techniques having been employed to infer the possible repayment …

The digitalization of small and medium-sized enterprises within the construction sector is
significantly limited as a result of their distinct characteristics. Despite the potential for …

This research is aimed at the case of credit scoring in risk management and presents a
novel machine learning method to be used for the default prediction of high-risk branches or …

Three-way decision provides a new research perspective for solving multi-criteria decision-
making problems. Under grey environment and grey decision idea, this paper proposes a …