University of Kansas
Management of fuzzy and vague information has been a research problem for computer scientists, particularly in artificial intelligence, relational and temporal databases. Fuzzy set theory has been widely used to cater this problem. Rough set theory is a newer approach to deal with uncertainty. After many years of rivalry between the two theories, many researchers have started working towards a hybrid theory. In this paper, the authors have discussed the fundamental concepts of fuzzy and rough set theories as well as their application in temporal database model. They have also presented a conceptual model of fuzzy rough temporal data processing along with a case study.