Vinay Kukreja1, Asha Abraham2, K. Kalaiselvi3, K. Deepa Thilak3, Shanmugasundaram Hariharan4, Shih-Yu Chen5,6,*
CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2899-2914, 2023, DOI:10.32604/cmc.2023.045136
Abstract Data fusion generates fused data by combining multiple sources, resulting in information that is more consistent, accurate, and useful than any individual source and more reliable and consistent than the raw original data, which are often imperfect, inconsistent, complex, and uncertain. Traditional data fusion methods like probabilistic fusion, set-based fusion, and evidential belief reasoning fusion methods are computationally complex and require accurate classification and proper handling of raw data. Data fusion is the process of integrating multiple data sources. Data filtering means examining a dataset to exclude, rearrange, or apportion data according to the criteria.… More >
Login
Register
