Complement information entropy for uncertainty measure in fuzzy rough set and its applications

Verfasser / Beitragende:
[Junyang Zhao, Zhili Zhang, Chongzhao Han, Zhaofa Zhou]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/7(2015-07-01), 1997-2010
Format:
Artikel (online)
ID: 605468966
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024 7 0 |a 10.1007/s00500-014-1387-5  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1387-5 
245 0 0 |a Complement information entropy for uncertainty measure in fuzzy rough set and its applications  |h [Elektronische Daten]  |c [Junyang Zhao, Zhili Zhang, Chongzhao Han, Zhaofa Zhou] 
520 3 |a Uncertainty measure is an important tool for analyzing imprecise and ambiguous data. Some information entropy models in rough set theory have been defined for various information systems. However, there are relatively few studies on evaluating uncertainty in fuzzy rough set. In this paper, we propose a new complement information entropy model in fuzzy rough set based on arbitrary fuzzy relation, which takes inner-class and outer-class information into consideration. The corresponding definitions of complement conditional entropy, complement joint entropy, complement mutual information and complement information granularity are also presented. The properties of these definitions are analyzed, which show complement information entropy shares some similar properties with Shannon's entropy. Moreover, a generalized information entropy model is proposed by introducing probability distribution into fuzzy approximate space. This model can be used to measure uncertainty of data with the different sample distributions. Applications of the proposed entropy measures in feature importance evaluation and feature selection are studied with data set experiments. Experimental results show that the proposed method is effective and adaptable to different classifiers. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Uncertainty measure  |2 nationallicence 
690 7 |a Information entropy  |2 nationallicence 
690 7 |a Fuzzy relation  |2 nationallicence 
690 7 |a Fuzzy rough set  |2 nationallicence 
690 7 |a Information granularity  |2 nationallicence 
700 1 |a Zhao  |D Junyang  |u Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, Xi'an, China  |4 aut 
700 1 |a Zhang  |D Zhili  |u Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, Xi'an, China  |4 aut 
700 1 |a Han  |D Chongzhao  |u Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, Xi'an, China  |4 aut 
700 1 |a Zhou  |D Zhaofa  |u Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, Xi'an, China  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/7(2015-07-01), 1997-2010  |x 1432-7643  |q 19:7<1997  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1387-5  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1387-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhao  |D Junyang  |u Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhang  |D Zhili  |u Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Han  |D Chongzhao  |u Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab), Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhou  |D Zhaofa  |u Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/7(2015-07-01), 1997-2010  |x 1432-7643  |q 19:7<1997  |1 2015  |2 19  |o 500