Title :
An inference network for bidirectional approximate reasoning based on an equality measure
Author :
Bien, Zeungnam ; Chun, Myung-Geun
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
fDate :
5/1/1994 12:00:00 AM
Abstract :
An inference network is proposed as a tool for bidirectional approximate reasoning. The inference network can be designed directly from the given fuzzy data (knowledge). If a fuzzy input is given for the inference network, then the network renders a reasonable fuzzy output after performing approximate reasoning based on an equality measure. Conversely, due to the bidirectional structure, the network can yield its corresponding reasonable fuzzy input for a given fuzzy output. This property makes it possible to perform forward and backward reasoning in the knowledge base system
Keywords :
inference mechanisms; knowledge representation; neural nets; approximate reasoning; backward reasoning; bidirectional approximate reasoning; equality measure; forward reasoning; fuzzy data; inference network; Equations; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Humans; Manufacturing automation; Multi-layer neural network; Neural networks; Performance evaluation; Production engineering;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
