Computer Science ›› 2016, Vol. 43 ›› Issue (3): 285-290.doi: 10.11896/j.issn.1002-137X.2016.03.053

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Sugeno Measure Rough Set Model Based on Covering and its Three-way Decision

XUE Zhan-ao, LIU Jie, ZHU Tai-long, SI Xiao-meng and WANG Peng-han   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The classical probabilistic rough set model is an important theoretical basis for dealing with the problem of uncertain information.It has a wide range of applications in uncertain information system.However,both the equivalence relation and probability measure in probabilistic rough set model are too strict to obtain in the practical applications.Therefore,it is necessary to expand the model,so that it should widen the scope of application.Based on the proba-bilistic rough set,Sugeno measure and three-way decision theory,the covering Sugeno measure rough set model was first proposed and the new three-way decision rules were researched.Firstly,the covering Sugeno measure rough set model was constructed and the upper and lower approximate operators were also defined.Secondly,the properties about the union,intersection and complement of the operators were provided.Finally,combined with the three-way decision theory,the three-way decision rules based on the model were proposed and a comprehensive illustration was presented to verify the model’s effectiveness and feasibility.

Key words: Sugeno measure,Covering,Sugeno measure rough set model,Three-way decision

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