Title :
Parallel fuzzy resolution inference on fuzzy neural logic network
Author :
Ding, Liya ; Shen, Zuliang
Author_Institution :
Inst. of Syst. Sci., Nat. Univ. of Singapore, Kent Ridge, Singapore
Abstract :
A form of parallel fuzzy resolution inference on a fuzzy neural logic network (FPRIN) is introduced. It is a continuation of research on parallel resolution inference on a neural logic network (PRIN), extended for fuzzy logic by using the fuzzy resolution principle, fuzzy linear resolution, and the fuzzy perceptron in the neural logic network. In FPRIN, fuzzy resolution inference is processed at two levels: (1) a symbolic level represented by the FPRIN network itself; and (2) a fuzzy inference level expressed as the access of fuzzy truth values and confidence values. By using FPRIN, fuzzy resolution inference can be executed in parallel without loss of its logical properties
Keywords :
fuzzy logic; inference mechanisms; neural nets; confidence values; fuzzy linear resolution; fuzzy neural logic network; fuzzy perceptron; fuzzy resolution principle; fuzzy truth values; parallel fuzzy resolution inference; symbolic level; Computers; Electronic mail; Fuses; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Information processing; Neural networks; Parallel processing;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327459