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An extended method of rough sets, called a method of weighted equivalence classes, is applied to a data table containing imprecise values expressed in a possibility distribution. An indiscerniblity degree between objects is calculated. A family of weighted equivalence classes is obtained via indiscernible classes from a binary relation for indiscernibility between objects. Each equivalence class in...
Rough sets are applied to information tables containing imprecise values that are expressed in a normal possibility distribution. A method of weighted equivalence classes is proposed, where each equivalence class is accompanied by a possibilistic degree to which it is an actual one. By using a family of weighted equivalence classes, we derive lower and upper approximations. The lower and upper approximations...
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