Propensity scorecards allow forecasting, which bank customers would like to be granted new credits in the near future, through assessing their willingness to apply for new loans. Kalman filtering can help to monitor scorecard performance. Data from successive months are used to update the baseline model. The updated scorecard is the output of the Kalman filter. There is no assumption concerning...

Data based scorecards, such as those used in credit scoring, age with time and need to be rebuilt or readjusted. Unlike the huge literature on modelling the replacement and maintenance of equipment there have been hardly any models which deal with this problem for scorecards. This paper identifies an effective way of describing the predictive ability of the scorecard and from this describes a s...

Many business elements are used to develop credit scorecards. Reject inference, related to the issue of sample bias, is one of the key processes required to build relevant application scorecards and is vital in creating successful scorecards. Reject inference is used to assign a target class (that is, a good or bad designation) to applications that were rejected by the financial institution and...

In this paper, we propose a novel balanced scorecard design based on fuzzy analytic network process and then conduct performance evaluation through a case study. After analyzing the related works about balanced scorecard design and the algorithm of fuzzy analytic network process, we illustrate the improved balanced scorecard design. Firstly, the basic concepts for the balanced scorecards are in...

Most of standard procedures for the Software Development Process focus on the technical dimension; however, they are still deficient in performing with the project strategies. Therefore we develop a model consisting of the well-known standard procedure; ISO/IEC12207, and the Balanced Scorecard to fulfill missing dimensions for software projects. We bring the Agile Software Development Processes...

Many business elements are used to develop credit scorecards. Reject inference, related to the issue of sample bias, is one of the key processes required to build relevant application scorecards and is vital in creating successful scorecards. Reject inference is used to assign a target class (that is, a good or bad designation) to applications that were rejected by the financial institution and...

BACKGROUND Many low income countries have policies to exempt the poor from user charges in public facilities. Reliably identifying the poor is a challenge when implementing such policies. In Tanzania, a scorecard system was established in 2011, within a programme providing free national health insurance fund (NHIF) cards, to identify poor pregnant women and their families, based on eight compon...

the comprehensive assessment model considers the financial and non-financial aspects as balanced scorecard. also, for more comprehensive results of the investigation, four aspects of the balanced scorecard were used and then by using fuzzy delphi technique and experts' opinions, the standard aspects of each were achieved in two stages. to determine the importance of each aspect of bsc, the proce...