clusters would be tacitly used to generate intended disjoint fragments. Moreover, the allocation process has been considered so …

Credit risk evaluation techniques that aid effective decisions in credit lending are of great importance to the … financial and banking industries. Such techniques assist credit managers to minimize the risks often associated with wrong … decision making. Several techniques have been developed in the time past for credit risk evaluation and these techniques suffer …

The assessment of businesses' credit risk is a difficult and important process in the area of financial risk management …. In a classical multivariate model, financial ratios are combined in order to achieve a credit risk score, which signals … models (structural models, reduced form models and market models used from credit institutions) together with their …

A lack of reliable credit risk measurements and poor control of credit risks has caused massive financial losses across … increases of the credit defaulting. In this paper, we address the credit lending challenges by eliminating credit defaulting … credit risk evaluation network. The artificial neural network technique with back-propagation algorithm was applied to …

The purpose of the study was to determine the efficiency and costs of energy biomass transportations, when using a …

. Finally, he shows how the efficiency of the app is determined by the multiplicity of actors' ontological models that …

opportunities. However, researchers have yet to evaluate and compare the relative efficiency of LCLH carriers in this competitive … business environment. The purpose of this paper was to determine the relative efficiency of LCLH carriers in the Trans …-Atlantic and Asia-Pacific markets. Data Envelopment Analysis (DEA) models were developed to compare the efficiency of five low …

years. Low participation rates combined with low levels of trust toward government officials has resulted in low efficiency …