Title :
Strong and weak knowledge granules in context
Author_Institution :
Dept. of Decision Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
The article examines the joint effects of the strength of a knowledge granule implemented as a fuzzy if-then rule under a parameterized R-implication, and the parameter of the implication. A novel implication operator, the quadratic R-implication, is found to confer some special advantages
Keywords :
fuzzy logic; fuzzy set theory; knowledge representation; fuzzy if-then rule; novel implication operator; parameterized R-implication; quadratic R-implication; strong knowledge granules; weak knowledge granules; Fuzzy sets; Joining processes; Mathematics; Multivalued logic;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781708
