D. Rajendra and . Badgaiyan, Neuroanatomical Organization of Perceptual Memory:An fMRI Study of Picture Priming, Human Brain Mapping, vol.10, pp.197-203, 2000.

, The fifth generation computer and its cognitive logic methodology,Frontire science, pp.18-23, 2007.

J. Feng and . Dong, A Mathematical model of perception schema generation and recognition based on attributive in tegration, pp.487-491, 1997.

L. Zadeh, Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic.Fuzzy Sets and Systems, pp.111-127, 1997.

J. Feng, Attribute network computing based on qualitative mapping and its applications in pattern recognition, Journal of Intelligent & Fuzzy Systems, vol.19, issue.2, pp.1-16, 2008.

P. Song, J. Y. Liang, and Y. H. Qian, A two-grade approach to ranking interval data. Knowledge- Based Systems, pp.234-244, 2012.

Y. H. Qian, J. Y. Liang, Y. Y. Yao, and C. Y. Dang, MGRS: A multi-granulation rough set, Information Sciences, vol.180, issue.6, pp.949-970, 2010.
DOI : 10.1016/j.ins.2009.11.023

Y. Y. Yao, The superiority of three-way decisions in probabilistic rough set models, Information Sciences, vol.181, issue.6, pp.1080-1096, 2011.
DOI : 10.1016/j.ins.2010.11.019

Y. Y. Yao, Three-way decisions with probabilistic rough sets, Information Sciences, vol.180, issue.3, pp.341-353, 2010.
DOI : 10.1016/j.ins.2009.09.021

. Sun, . Ma, and Y. Weimin-;-qian, Multigranulation fuzzy rough set over two universes and its application to decision making,Knowledge-Based Systems, pp.61-74, 2017.

D. Liu, Y. Y. Yao, and T. R. Li, Three-way Investment Decisions with Decision-theoretic Rough Sets, International Journal of Computational Intelligence Systems, vol.10, issue.6, pp.66-74, 2011.
DOI : 10.1016/0022-0000(93)90048-2

M. Nauman, . Azam, . Nouman, and J. Yao, A three-way decision making approach to malware analysis using probabilistic rough sets, Information Sciences, vol.374, pp.193-209, 2016.
DOI : 10.1016/j.ins.2016.09.037

J. Feng, Qualitative mapping,linear transformation of qualitative criterion and artificial neuron ,Proc. Of the IJCAI-2007,workshop theme:complex valued neural networks and neurocomputing:novel methods,applications and implementations, 2007.

J. Feng and Z. Wu, Conversion degree functions induced by qualitative mapping and artificial neurons, Proceedings of ICMLC2003,IEEE 03EX693, pp.1135-1140, 2003.

J. Feng and Z. Dong, A Mathematical model of sensation neuron detection based on attributive abstraction and integration, Computer research & development, vol.34, issue.7, pp.481-486, 1997.

J. Feng, Granular transformation of qualitative criterion,orthogonality of qualitative mapping system and pattern recognition,Proceeding of, IEEE international conference on granular computing, pp.10-12, 2006.

C. Zhong, . Pedrycz, and D. Wang, Granular data imputation: A framework of Granular Computing, Applied Soft Computing, vol.46, pp.307-316, 2016.
DOI : 10.1016/j.asoc.2016.05.006

M. Wolski and . Gomolinska, Rough Granular Computing in Modal Settings: Generalised Approximation Spaces, Fundamenta Informaticae, vol.148, issue.1-2, pp.157-172, 2016.
DOI : 10.3233/FI-2016-1428

Y. Wang-yingxu?wang, Cognitive informatics models of the brain, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.36, issue.2, pp.203-207, 2006.
DOI : 10.1109/TSMCC.2006.871151

Y. Wang and Y. Qi, Memory-Based cognitive modeling for visual information processing, pp.144-150, 2013.

Z. Dong and J. Feng, An Attributive coordinate representation of schematic memory, pp.694-698, 1998.