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

fYear

1993

fDate

1993

Firstpage

82

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1993., Second IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0614-7

Type

conf

DOI

10.1109/FUZZY.1993.327459

Filename

327459