Enhancing knowledge management capabilities in web-based decision aids using fuzzy prototypes and Data Quality criteria

Web based decision aids, embedded in modern telemedicine systems, are a tool to improve the skills of general practitioners and patients in sharing decision making. The aim of this paper is to present a new method based on data quality and fuzzy prototypes to provide a better and improved knowledge management framework for web-based decision aids. The proposed model is able to manage data quality dimensions on the decision-making process, moreover, the set of possible recommendations is not fixed over time to address dynamic scenarios. To illustrate the advantage of this mechanism, a preliminary experiment is carried out.