DocumentCode
342578
Title
Strong and weak knowledge granules in context
Author
Whalen, Thomas
Author_Institution
Dept. of Decision Sci., Georgia State Univ., Atlanta, GA, USA
fYear
1999
fDate
36342
Firstpage
327
Lastpage
331
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/NAFIPS.1999.781708
Filename
781708
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