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  2018, Vol. 31 Issue (3): 230-235    DOI: 10.16451/j.cnki.issn1003-6059.201803004
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Attribute Reduction for Entire-Granulation Rough Sets
DENG Dayong1
1.Xingzhi College, Zhejiang Normal University, Jinhua 321004

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Abstract  Entire-granulation rough sets is a kind of dynamic and static combining rough set model. They can partly express complexity,diversity and uncertainty of human cognition. The entire-granulation attribute reducts for a single concept are defined and the definitions of attribute reducts for entire-granulation rough sets are completed. The properties of entire-granulation attribute reducts, including entire-granulation attribute reducts for a single concept, entire-granulation absolute attribute reducts and entire-granulation Pawlak reducts, are investigated.Moreover, the relationships among various kinds of entire-granulation attribute reducts are studied. The obtained results contribute to practical applications and the generation of heuristic algorithms of entire-granulation attribute reducts.
Key wordsEntire-Granulation Rough Sets      Entire-Granulation Attribute Reducts for a Single Concept      Entire-Granulation Absolute Reducts      Entire-Granulation Pawlak Reducts      Attribute Reducts     
Received: 18 September 2017     
ZTFLH: TP 18  
Fund:Supported by Natural Science Foundation of Zhejiang Province (No.LY15F020012)
About author:: DENG Dayong, Ph.D, associate profe-ssor. His research interests include rough sets, granular computing and data mining.
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DENG Dayong. Attribute Reduction for Entire-Granulation Rough Sets[J]. , 2018, 31(3): 230-235.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201803004      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I3/230
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