منابع مشابه
Variable Precision Rough Set Model
A general ized model of rough sets called variable precision model (VP-model), a imed at modell ing classification problems involving uncertain or imprecise information, is presented. The general ized model inherits all basic mathematical propert ies of the original model introduced by Pawlak. The main concepts are introduced formally and illustrated with simple examples. The application of the...
متن کاملAttribute Reduction in Variable Precision Rough Set Model
The differences of attribute reduction and attribute core between Pawlak’s rough set model (RSM) and variable precision rough set model (VPRSM) are analyzed in detail. According to the interval properties of precision parameter b with respect to the quality of classification, the definition of attribute reduction is extended from a specific b value to a specific b interval in order to overcome ...
متن کاملClassification Using the Variable Precision Rough Set
In this paper, we present a new version of discernibility matrix, so called variable precision discernibility matrix, which can tolerate the noise of information, in addition, a reduction algorithm is also presented based on the partial order relation of the conditional attribute and used to do image classification. Compared with traditional rough set and BP network, the results will be much be...
متن کاملVariable-precision dominance-based rough set approach and attribute reduction
In this paper, a variable-precision dominance-based rough set approach (VP-DRSA) is proposed together with several VP-DRSA-based approaches to attribute reduction. The properties of VP-DRSA are shown in comparison to previous dominance-based rough set approaches. An advantage of VP-DRSA over variable-consistency dominance-based rough set approach in decision rule induction is emphasized. Some r...
متن کاملPRE and Variable Precision Models in Rough Set Data Analysis
We present a parameter free and monotonic alternative to the parametric variable precision model of rough set data analysis. The proposed model is based on the well known PRE index λ of Goodman and Kruskal. Using a weighted λ model it is possible to define a two dimensional space based on (Rough) sensitivity and (Rough) specificity, for which the monotonicity of sensitivity in a chain of sets i...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 1993
ISSN: 0022-0000
DOI: 10.1016/0022-0000(93)90048-2