Experiment No. 2:

The goal of the next experiment was to find out the dependence of rule number on predicting accuracy. Input data—the same financial indices as in experiment 1. The results of application of FNN TSK are presented in Table 2.


#### Table 2.

Results of FNN TSK forecasting.

The similar experiments were carried out with FNN ANFIS.

## Experiment No. 3:

The comparative analysis of forecasting results versus the number of rules is presented in Table 3 [4].


#### Table 3.

Comparative analysis of FNN ANFIS and TSK in dependence on rules number.

Comparing the results in Table 3, one may conclude FNN TSK has better accuracy than FNN ANFIS.

The goal of the next experiments was to explore the influence of training and test samples size on accuracy of forecasting.

#### Experiment No. 4:

Training sample—120 Ukrainian banks, test sample—50 banks, and number of rules = 10.

Banks Financial State Analysis and Bankruptcy Risk Forecasting with Application of Fuzzy… DOI: http://dx.doi.org/10.5772/intechopen.82534
