Title :
Fuzzy knowledge representation based on an improving spiking neural P system
Author :
Wang, Jun ; Peng, Hong
Author_Institution :
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Abstract :
This paper presents a new method to express fuzzy knowledge based on an improving spiking neural P system. In knowledge base of a rule-based system, the fuzzy production rules can be modeled by the improving spiking neural P system. The original definition of neurons is no longer the number of spikes, instead by fuzzy numbers. An example is used to illustrate the fuzzy reasoning process.
Keywords :
fuzzy reasoning; knowledge based systems; knowledge representation; neural nets; fuzzy knowledge representation; fuzzy numbers; fuzzy production rules; fuzzy reasoning process; rule-based system; spiking neural P system; Biomembranes; Computational modeling; Fuzzy reasoning; Knowledge based systems; Knowledge representation; Neurons; Production;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584281
