DocumentCode
2480691
Title
Proximity based knowledge with evaluating algorithm
Author
Achs, Ágnes
Author_Institution
Dept. of Comput. Sci., Univ. of Pecs
fYear
0
fDate
0-0 0
Firstpage
102
Lastpage
107
Abstract
The basic question of our study is to present a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. The concept of fuzzy knowledge-base is defined as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a decoding set of the program, which help us to determine the uncertainty level of the results. We also suggest a possible evaluation strategy
Keywords
DATALOG; fuzzy reasoning; fuzzy set theory; knowledge based systems; uncertainty handling; DATALOG; deduction mechanism; fuzzy knowledge-base; proximity-based knowledge; uncertain information handling; Computer science; Decoding; Deductive databases; Fuzzy logic; Fuzzy sets; Humans; Joining processes; Knowledge engineering; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 2006. INES '06. Proceedings. International Conference on
Conference_Location
London
Print_ISBN
0-7803-9708-8
Type
conf
DOI
10.1109/INES.2006.1689350
Filename
1689350
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