DocumentCode :
3027551
Title :
Rough sets based proofs visualisation
Author :
Vigneron, Laurent ; Wasilewska, Anita
Author_Institution :
Univ. Nancy II, Vandoeuvre-les-Nancy, France
fYear :
1999
fDate :
36342
Firstpage :
805
Lastpage :
808
Abstract :
We present here an approach we used for proving important properties of clopen topological spaces. We combine powerful theorem provers techniques (and implementations) with a graphical technique based on a graphical representation of a rough set, called rough diagrams. Rough diagrams are a generalization of a classical notion of Venn Diagrams for algebra of sets to clopen topological spaces. We use them as a powerful automated technique of constructing counter-models of properties the prover has a hard time proving and the user might suspect of being false. It means we propose to add a visual tool to a prover that after some fixed number of prover deductions would start constructing a visual counter-model for a property the prover is trying to prove. A prover with the visual tool is called a visual prover. The visual prover has a completeness property: for any rough set equality we can construct its proof or its counter-model
Keywords :
Boolean algebra; data visualisation; rough set theory; theorem proving; Venn Diagrams; clopen topological spaces; completeness property; graphical representation; graphical technique; rough sets based proofs visualisation; theorem provers; visual tool; Algorithm design and analysis; Boolean algebra; Computer science; Databases; Independent component analysis; Machine learning; Machine learning algorithms; Medical diagnosis; Rough sets; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
Type :
conf
DOI :
10.1109/NAFIPS.1999.781805
Filename :
781805
Link To Document :
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