Considering the importance of Pawlak’s Rough Set Model in information systems, in 2005, G. Ganesan discussed the rough approximations on fuzzy attributes of the information systems. In 2008, G. Ganesan et al., have introduced Rough-Fuzzy connectives confining to the information system as a logical system with fuzzy membership values. In this paper, a two way approach on normal forms through the Rough-Fuzzy connectives using lower and upper literals is discussed.
CITATION STYLE
Satish, B. N. V., & Ganesan, G. (2015). Approximations on normal forms in rough-fuzzy predicate calculus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9436, pp. 369–380). Springer Verlag. https://doi.org/10.1007/978-3-319-25754-9_33
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