Comparative study of variable precision rough set model and graded rough set model
نویسندگان
چکیده
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...
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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 ...
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Conventional clustering algorithms categorize an object into precisely one cluster. In many applications, the membership of some of the objects to a cluster can be ambiguous. Therefore, an ability to specify membership to multiple clusters can be useful in real world applications. Fuzzy clustering makes it possible to specify the degree to which a given object belongs to a cluster. In Rough set...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2012
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2011.10.003