Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (8): 1657-1661.doi: 10.3969/j.issn.1001-506X.2010.08.22

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Limited dominance-based rough fuzzy set and knowledge reductions

LUO Gong-zhi1,YANG Xi-bei2,YANG Xiao-jiang1   

  1. (1. Coll. of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China; 
    2. School of Computer Science and Technology, Nanjing Univ. of Science and Technology, Nanjing 210094, China)
  • Online:2010-08-13 Published:2010-01-03

Abstract:

The concept of limited dominance relation is proposed in the incomplete fuzzy objective information system. By comparing with the traditional dominance relation in such information system, one can obtain higher approximate accuracy and approximate quality of fuzzy objects by using the limited dominance-based rough fuzzy set approach. Moreover, based on the limited dominance-based rough fuzzy set model, two types of knowledge reductions, the relative lower and upper approximate reductions are proposed. Finally, the practical approaches to compute the relative lower and upper approximate reductions are presented and then an illustrative example is employed to show the validity of such approaches.

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