2010Unpublished venueRequires access

Knowledge feature analysis to incomplete information system

Jiuying Deng, Qinruo Wang, Qiang Chen, Baoyu Ye, Jianhui Tan

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Abstract

The Variable Precision Rough Set (VPRS) model extends the basic Rough Set (RS) theory with finite universes and finite evaluative measures. VPRS is concerned with the equivalence and the contained relationship between two sets. In incompatible information systems, the inclusion degree and ß upper (lower) approximation of the inconsistent equivalence class to the decision equivalence classes may be affected by the variable precision. The analysis of an example decision table shows that there is a critical point in ß available-values region. In the new ß range limited at the critical point, the incomplete decision table can be converted to the coordination decision table reliably. We introduce a way and its algorithm implement for the critical value search. The inconsistent equivalence class transformation is performed.

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What this paper is about

The Variable Precision Rough Set (VPRS) model extends the basic Rough Set (RS) theory with finite universes and finite evaluative measures. VPRS is concerned with the equivalence and the contained relationship between two sets. In incompatible information systems, the inclusion degree and ß upper (lower) approximation of the inconsistent equivalence class to the decision equivalence classes may be affected by the variable precision. The analysis of an example decision table shows that there is a critical point in ß available-values region. In the new ß range limited at the critical point, the incomplete decision table can be converted to the coordination decision table reliably. We introduce a way and its algorithm implement for the critical value search. The inconsistent equivalence class transformation is performed.

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Available abstract

The Variable Precision Rough Set (VPRS) model extends the basic Rough Set (RS) theory with finite universes and finite evaluative measures. VPRS is concerned with the equivalence and the contained relationship between two sets. In incompatible information systems, the inclusion degree and ß upper (lower) approximation of the inconsistent equivalence class to the decision equivalence classes may be affected by the variable precision. The analysis of an example decision table shows that there is a critical point in ß available-values region. In the new ß range limited at the critical point, the incomplete decision table can be converted to the coordination decision table reliably. We introduce a way and its algorithm implement for the critical value search. The inconsistent equivalence class transformation is performed.

Key concepts: Rough set, Equivalence class (music), Equivalence relation, Decision table, Dominance-based rough set approach, Equivalence (formal languages), Mathematics, Data mining

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