Title :
The discussion of information entropy of fuzzy knowledge system under the α-level
Author_Institution :
Dept. of Math., Dalian Maritime Univ., Dalian, China
Abstract :
This paper presents definitions of a fuzzy knowledge system and fuzzy logic formulae. Information entropies of the fuzzy logic formulae and information entropies of fuzzy rules of the fuzzy knowledge system are described, and relative properties of these definitions are discussed. And then, classification and evaluation of the MISO fuzzy system are given based on the information entropy. Finally, validity of the classification and evaluation of the fuzzy rules is obtained by a real example.
Keywords :
entropy; fuzzy logic; fuzzy systems; inference mechanisms; MISO fuzzy system classification; MISO fuzzy system evaluation; fuzzy knowledge system; fuzzy logic formulae; fuzzy rule; information entropy;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008212
