Information Quality Assessment for Data Fusion Systems

This paper provides a comprehensive description of the current literature on data fusion, with an emphasis Information Quality (IQ) and performance evaluation. review highlights recent studies that reveal existing gaps, need to find synergy between fusion IQ, several research issues, challenges pitfalls in this field. First, main models, frameworks, architectures, algorithms, solutions, problems, requirements are analyzed. Second, general engineering process is presented show how complex it design framework for specific application. Third, IQ approach, as well different methodologies frameworks used assess information systems addressed; addition, along their related criteria. Furthermore, context its assessment discussed. Subsequently, issue systems’ reviewed. Finally, some key aspects concluding remarks outlined, future lines work gathered.