DocumentCode :
1461905
Title :
Knowledge representation using fuzzy deduction graphs
Author :
Chandwani, Manohar ; Chaudhari, Narendra S.
Author_Institution :
Dept. of Comput. Eng., GS Inst. of Technol. & Sci., Indore, India
Volume :
26
Issue :
6
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
848
Lastpage :
854
Abstract :
A new knowledge representation model, known as fuzzy deduction graph (FDG), is introduced in this paper. An FDG can represent a knowledge base containing the fuzzy propositions and fuzzy rules. In an FDG, a systematic method of finding the fuzzy reasoning path (FRP) is given which is based on Dijkstra´s shortest path framework. The FRP gives a relationship between the antecedent (source) proposition and consequent (goal) proposition, such that the consequent proposition is reached with the greatest fuzzy value. The process of finding the FRP is illustrated with examples,
Keywords :
fuzzy logic; knowledge representation; Dijkstra´s shortest path; fuzzy deduction graphs; fuzzy propositions; fuzzy reasoning path; fuzzy rules; knowledge base; knowledge representation; Computer science; Fiber reinforced plastics; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Inference algorithms; Knowledge representation; Labeling; Petri nets; Production;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/3477.544298
Filename :
544298
Link To Document :
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