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
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