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- W2367937600 abstract "Rough set theory is a relatively new soft computing tool, it can effectively analyze and process information systems. Traditionally, the information system is assumed to be perfect, i.e attribute values are not missing and supposed to be precise. However, imperfect information system is ubiquitous. In this paper, we investigate rough set and rough classification of imperfect information system, and several reduction methods like distribution reduction,maximum distribution reduction,assignment reduction and approximate reduction. Information quantity and conditional information quantity are defined to express indispensable attributes under incomplete information systems. Based on conditional information quantity, a heuristic algorithm for maximum distribution reduction is presented.Finally, the experimental result shows this algorithm can find its maximum distribution reduction for incomplete information system." @default.
- W2367937600 created "2016-06-24" @default.
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- W2367937600 date "2005-01-01" @default.
- W2367937600 modified "2023-09-26" @default.
- W2367937600 title "Rough Set-based Classification and Attribute Reduction Under Incomplete Information Systems" @default.
- W2367937600 hasPublicationYear "2005" @default.
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