2007Computer Engineering and Applications JournalRequires access

Extension of rough set model under incomplete information systems

Wang Xiang-fei

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Abstract

In the course of processing in incomplete information systems,need extension of Rough set model.Now there are several Rough sets models,such as tolerance relation,similarity relation,and limited tolerance relation.However these models have certain limitation.In this paper,a new extension model base on k-equivalent degree tolerance relation is presented.By an example,it is verified the model is flexible and consistent with the actual situation.

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What this paper is about

In the course of processing in incomplete information systems,need extension of Rough set model.Now there are several Rough sets models,such as tolerance relation,similarity relation,and limited tolerance relation.However these models have certain limitation.In this paper,a new extension model base on k-equivalent degree tolerance relation is presented.By an example,it is verified the model is flexible and consistent with the actual situation.

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Available abstract

In the course of processing in incomplete information systems,need extension of Rough set model.Now there are several Rough sets models,such as tolerance relation,similarity relation,and limited tolerance relation.However these models have certain limitation.In this paper,a new extension model base on k-equivalent degree tolerance relation is presented.By an example,it is verified the model is flexible and consistent with the actual situation.

Key concepts: Extension (predicate logic), Relation (database), Rough set, Computer science, Set (abstract data type), Similarity (geometry), Base (topology), Mathematics

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