Multi-granulation-based optimal scale selection in multi-scale information systems

[1]  Jun Yu,et al.  Planetary gearbox fault diagnosis based on data-driven valued characteristic multigranulation model with incomplete diagnostic information , 2018, Journal of Sound and Vibration.

[2]  Jiye Liang,et al.  International Journal of Approximate Reasoning Multigranulation Decision-theoretic Rough Sets , 2022 .

[3]  Andrzej Skowron,et al.  Extracting Patterns Using Information Granules: A Brief Introduction , 2001, JSAI Workshops.

[4]  Shashi Shekhar,et al.  Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification , 2009, Knowledge and Information Systems.

[5]  Ludovic Noels,et al.  Bayesian inference of non-linear multiscale model parameters accelerated by a Deep Neural Network , 2020 .

[6]  Y. H. Qian,et al.  Rough Set Method Based on Multi-Granulations , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[7]  Yiyu Yao,et al.  A Partition Model of Granular Computing , 2004, Trans. Rough Sets.

[8]  Yee Leung,et al.  Theory and applications of granular labelled partitions in multi-scale decision tables , 2011, Inf. Sci..

[9]  Haiyang Pan,et al.  Refined time-shift multiscale normalised dispersion entropy and its application to fault diagnosis of rolling bearing , 2020 .

[10]  Lotfi A. Zadeh,et al.  Fuzzy sets and information granularity , 1996 .

[11]  Y. Yao.  Information granulation and rough set approximation , 2001 .

[12]  Weihua Xu,et al.  Multigranulation Decision-theoretic Rough Set in Ordered Information System , 2015 .

[13]  Jun Wang,et al.  Stepwise optimal scale selection for multi-scale decision tables via attribute significance , 2017, Knowl. Based Syst..

[14]  Sankar K. Pal,et al.  Granular computing, rough entropy and object extraction , 2005, Pattern Recognit. Lett..

[15]  Wei-Zhi Wu,et al.  On rule acquisition in incomplete multi-scale decision tables , 2017, Inf. Sci..

[16]  Andrzej Skowron,et al.  The rough sets theory and evidence theory , 1990 .

[17]  Jing-Yu Yang,et al.  Multigranulation rough set: A multiset based strategy , 2017, Int. J. Comput. Intell. Syst..

[18]  Chen Hao,et al.  Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions , 2017, Inf. Sci..

[19]  Yee Leung,et al.  Optimal scale selection for multi-scale decision tables , 2013, Int. J. Approx. Reason..

[20]  Xin Liu,et al.  A rule-extraction framework under multigranulation rough sets , 2014, Int. J. Mach. Learn. Cybern..

[21]  Jinhai Li,et al.  A local approach to rule induction in multi-scale decision tables , 2015, Knowl. Based Syst..

[22]  H. Hannah Inbarani,et al.  Motor Imagery Classification Based on Variable Precision Multigranulation Rough Set , 2016 .

[23]  Jiye Liang,et al.  Information granules and entropy theory in information systems , 2008, Science in China Series F: Information Sciences.