Case-Based Reasoning (CBR) is a very popular methodology for developing knowledge-based systems [1]. Yet there are few toolkits available for building CBR systems. In this paper we present a framework called Fionn that is specifically designed for the development of CBR systems. Since Fionn was designed specifically for CBR it provides good support for some of the unique characteristics of CBR ...

Case-Based Reasoning (CBR) is a very popular methodology for developing knowledge-based systems [1]. Yet there are few toolkits available for building CBR systems. In this paper we present a framework called Fionn that is specifically designed for the development of CBR systems. Since Fionn was designed specifically for CBR it provides good support for some of the unique characteristics of CBR ...

empolis orenge 4.0, a component-based environment for knowledge management applications by empolis Knowledge Management, is a flexible and scalable Case-Based Reasoning shell for industrial applications, that also contains many components that provide functionality beyond the basic CBR paradigm. Further it can be extended easily by application-specific components, which makes it an ideal starti...

In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in several domains of artificial intelligence. However, in conventional CBR method each factor has the same weight which means each one has the same influence on the output data that does not r...

BACKGROUND Community-based rehabilitation (CBR) is a multi-sectoral strategy to improve the functioning and quality of life of people with disabilities. The RISE (Rehabilitation Intervention for people with Schizophrenia in Ethiopia) trial will evaluate the effectiveness of CBR for people with schizophrenia in Ethiopia. Nevertheless, the components of CBR that are both feasible and likely to pr...

Case-based reasoning (CBR) is an integral part of artificial intelligence. It is defined as the process of solving new problems through their comparison with similar ones with existing solutions. The CBR methodology fits well with the approach that healthcare workers take when presented with a new case, making its incorporation into a clinical setting natural. Overall, CBR is appealing in medic...

Case-based reasoning depends on multiple knowledge sources beyond the case library, including knowledge about case adaptation and criteria for similarity assessment. Because hand coding this knowledge accounts for a large part of the knowledge acquisition burden for developing CBR systems, it is appealing to acquire it by learning, and CBR is a promising learning method to apply. This observati...