The given paper proposes a method to assess credit worthiness based on a continuous scale. This method in contrast to current methods that rely on a binary scale such as bad/good credit uses aggregated randomized indices. Its application may have certain practical benifits in real life, e.g. assessing the individual loan price of a particular person rather than setting a standard loan price for clients. The credit scoring model is based on set of private borrowers information that can be converted into quality function corresponding to a weighting coefficient. These weighting coefficients and quality functions then can be used to compute the quality of credit score on a continuous scale. Results based on data from German credit base have showed the feasibility of the approach. It was found that results of credit scoring with a different scales can not be correctly compared by probability of well classified borrowers.