This paper presents a comprehensive review of hybrid and ensemble-based soft computing
techniques applied to bankruptcy prediction. A variety of soft computing techniques are …

On account of the idea of maximum fuzzy entropy and symmetric implicational mechanism
under the environment of intuitionistic fuzzy sets, we come up with the intuitionistic fuzzy …

The modern science is still striving to develop consciousness-based machine. In the last
century, enormous industrial and technological developments had taken place. Technology …

Purpose Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and
fuzzy inference systems: a neural network can learn patterns from data and achieves high …

As an increasing number of users access information on the Web, there is a great
opportunity to learn from the server logs to learn about the users' probable actions in the …

The Bandler–Kohout subproduct (BKS) method is one of the two widely acknowledged fuzzy
relational inference (FRI) schemes. The previous works related to its stability and robustness …

Bank failure prediction is an important issue for the regulators of the banking industries. The
collapse and failure of a bank could trigger an adverse financial repercussion and generate …

Existing neural fuzzy (neuro-fuzzy) networks proposed in the literature can be broadly
classified into two groups. The first group is essentially fuzzy systems with self-tuning …

This paper investigates the method of forecasting stock price difference on artificially
generated price series data using neuro-fuzzy systems and neural networks. As trading …

Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and
manipulation of complex systems, can be used to model the dynamic behavior of the …