Computer Science ›› 2015, Vol. 42 ›› Issue (5): 215-220.doi: 10.11896/j.issn.1002-137X.2015.05.043

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Dynamic Data Intelligent Mining with Attributes Disjunctive Reduction and Expansion Characteristics

XU Feng-sheng, YAN Li-mei and SHI Kai-quan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: S-rough sets (singular rough sets) are generated by introducing dynamic characteristics into Z.Pawlak rought sets.S-rough sets have dynamic characteristics.In general,S-rough sets have three formulas including one direction S-rough sets,dual of one direction S-rough sets and two directions S-rough sets.Given certain conditions,one direction S-rough sets and dual of one direction S-rough sets can be reduced to Z.Pawlak rought sets.Dynamic data intelligent mining with attribute disjunctive characteristics was considered.Attribute disjunctive is one of logic characteristics of data.The main results of this paper include generation of dynamic data and the relations between dynamic data and its attribute disjunctive reduction and expansion,data reasoning and reasoning model,theorems of dynamic data intelligent mining,and applications of the obtained results.

Key words: S-rough sets,Attribute disjunctive,Generation of dynamic data,Data reasoning,Data intelligent mining,Application

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