Knowledge generated using data mining techniques is of great interest for organizations, as it facilitates tactical and strategic decision making, generating a competitive advantage. In the special case of credit granting organizations, it is important to clearly define rejection/approval...

Knowledge generated using data mining techniques is of great interest for organizations, as it facilitates tactical and strategic decision making, generating a competitive advantage. In the special case of credit granting organizations, it is important to clearly define rejection/approval...

In this paper, an analytical tool enabling the analysis of social stratification is proposed. The classical scheme for scaling consisting of two stages, conceptualisation and operationalization, is modified by the use of the concept of granulation introduced by L. Zadeh. The essential step in...

In the present difficult economic situation in Argentina, most companies are making efforts in implementing cost reduction strategies. This has an impact in the way these companies choose the health coverage for their employees, specially seeking to minimize the cost and at the same time to...

During the last three decades various models have been proposed by the literature to predict the risk of bankruptcy and of firm insolvency, which make use of structural and empirical tools, namely rating system, credit scoring, option pricing and three alternative methods (fuzzy logic, efficient...