Papers on Granular Computing

Yao, Y.Y., Methodology of granular computing (in Chinese), in: Miao, D.Q., Li, D.Y., Yao, Y.Y., Wang, G.Y., Zhang, Y.P., Wu, W.Z., Liang, J.Y., Yu, D.R., and Wang, R.Z. (Eds.), Uncertainty and Granular Computing (in Chinese), Science Press, Beijing, China, pp. 150-163, 2011.

Yao, Y.Y., Lou, J.G., Top-down progressive computing, Proceedings of RSKT 2011, LNCS(LNAI) 6954, pp. 734-742.

Yao, Y.Y., N. Zhang, D.Q. Miao, and F.F. Xu, Set-theoretic approaches to granular computing, Submitted to Fundamenta Informaticae, 2011.

The Triarchic Model of Granular Computing (Click paper title to download)

The Triarchic Model consists of three perspectives of granular computing: the philosophy of structured thinking, the methodology of structured problem solving, and the computation of structured information processing. A central notion is granular structures characterized by multilevel and multiview. While a multilevel hierarchy represents a particular view, a collection of many hierarchies represents a multiview description. The basic ideas of the Triarchic Model are developed in this group of papers.

Yao, Y.Y., Triarchic theory of granular computing (in Chinese) in: Zhang, Y.P., Luo, B., Yao, Y.Y., Miao, D.Q., Wang, G.Y., Zhang, L. and Zhang, B. (Eds.) Quotient Space Theory and Granular Computing, Theory and Practice of Structured Problem Solving (in Chinese), Science Press, Beijing, pp. 115-143, 2010.
Yao, Y.Y., A unified framework of granular computing, in: Pedrycz, W., Skowron, A. and Kreinovich, V. (Eds.), Handbook of Granular Computing, Wiley, pp. 401-410, 2008.
Yao, Y.Y., Three perspectives of granular computing, Journal of Nanchang Institute of Technology 25(2): 16-21, 2006.
Yao, Y.Y., Perspectives of Granular Computing, Proceedings of 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 85-90, 2005.

Multilevel, mutltview granular structures

Yao, Y.Y., Integrative levels of granularity, in: A. Bargiela and W. Pedrycz (Eds.), Human-Centric Information Processing Through Granular Modelling, Springer-Verlag, Berlin, pp. 31-47, 2009.

Motivations, scope, goals and development of granular computing

Yao, Y.Y., Human-inspired granular computing, J.T. Yao (Ed.), Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation , Information Science Reference, Herskey, PA, pp. 1-15, 2010.
Yao, Y.Y., The rise of granular computing, Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition) 20(3): 299-308, 2008.
Yao, Y.Y., Granular computing: past, present and future, 2008 IEEE International Conference on Granular Computing, pp. 80-85, 2008.
Yao, Y.Y., Granular computing: basic issues and possible solutions, Proceedings of the 5th Joint Conference on Information Sciences, Volume I, pp. 186-189, 2000.

General theories and models

Yao, Y.Y., The art of granular computing, Proceeding of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, LNAI 4585, pp. 101-112, 2007.
Yao, Y.Y., The art of granular computing (in Chinese), in: Miao, D., Wang, G.Y., Liu, Q., Lin, T.Y. and Yao, Y.Y. (Eds.) Granular Computing: Past, Present, and the Future Perspectives, Academic Press, Beijing, China, 2007, pp. 1-20.

Yao, Y.Y., Granular Computing, Computer Science (Ji Suan Ji Ke Xue) 31: 1-5, 2004.

Yao, Y.Y., A partition model of granular computing LNCS Transactions on Rough Sets I, LNCS 3100, pp. 232-253, 2004.
Yao, Y.Y., Liau, C.-J. and Zhong, N. Granular computing based on rough sets, quotient space theory, and belief functions, Foundations of Intelligent Systems, LNAI 2871, Zhong, N. Ras, Z.W., Tsumoto, S. and Suzuki, E. (Eds), The 14th International Symposium, 152-159, 2003.
Yao, Y.Y. and Zhong, N. Granular computing using information tables, in: Data Mining, Rough Sets and Granular Computing, Lin, T.Y., Yao, Y.Y. and Zadeh, L.A. (Eds.), Physica-Verlag, Heidelberg, pp. 102-124, 2002.

Multilevel, multiview data analysis

Chen, Y.H. and Yao, Y.Y., A multiview approach for intelligent data analysis based on data operators, Information Sciences 178(1): pp 1-20, 2008.
Chen, Y.H. and Yao, Y.Y., Multiview intelligent data analysis based on granular computing, Proceedings of 2006 IEEE International Conference on Granular Computing. IEEE Computer Society, pp. 281-286, 2006.

Granular computing for machine learning, data mining

Yao, Y.Y., Interpreting concept learning in cognitive informatics and granular computing, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 39(4): 855-866, 2009.
Yao, Y.Y. Granular computing for data mining, Proceedings of SPIE Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, Dasarathy, B.V. (Ed.), pp. 1-12 (624105), 2006.
Yao, Y.Y. Concept formation and learning: a cognitive informatics perspective, Proceedings of the 3rd IEEE International Conference on Cognitive Informatics, pp. 42-51 2004.
Yao, Y.Y., Modeling data mining with granular computing, Proceedings of the 25th Annual International Computer Software and Applications Conference (COMPSAC 2001), pp. 638-643, 2001.

Zhao, Y., Yao, Y.Y. and Yao, J.T., Level construction of decision trees for classification, International Journal of Software Engineering and Knowledge Engineering 16(1): 103-123, 2006.
Yao, J.T. and Yao, Y.Y., Induction of classification rules by granular computing , Rough Sets and Current Trends in Computing, Proceedings of the Third International Conference (RSCTC 2002), LNCS(LNAI) 2475, pp. 331-338, 2002.
Yao, Y.Y., and Yao, J.T., Granular computing as a basis for consistent classification problems, Communications of Institute of Information and Computing Machinery 5(2): 101-106, 2002.
Yao, Y.Y. and Zhong, N., Potential applications of granular computing in knowledge discovery and data mining, Proceedings of World Multiconference on Systemics, Cybernetics and Informatics, Volume 5, Computer Science and Engineering, pp. 573-580, 2001.

Granular computing in artificial intelligence

Yao, Y.Y., Artificial intelligence perspectives on granular computing, Statement for the RSCTC'08 Panel on "RS and SC Challenges in AI and KDD" , 2008.
Yao, Y.Y., Granular computing for web intelligence and brain informatics, The 2007 IEEE/WIC/ACM International Conference on Web Intelligence, pp. xxvi-xxix, 2007.

Logic languages for granular computing

Yao, Y.Y. and Zhou, B. A logic language of granular computing, Proceedings 6th IEEE International Conference on Cognitive Informatics, pp. 178-185, 2006.
Yao, Y.Y., and Liau, C.-J., A generalized decision logic language for granular computing, FUZZ-IEEE'02 in The 2002 IEEE World Congress on Computational Intelligence, pp. 1092-1097, 2002.

Applications

Yao, Y.Y., Structured writing with granular computing strategies, 2007 IEEE International Conference on Granular Computing, pp. 72-77, 2007.

Granular computing and neighborhood systems

Yao, Y.Y., Information tables with neighborhood semantics, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, pp. 108-116, 2000.
Yao, Y.Y., Granular computing using neighborhood systems, Advances in Soft Computing: Engineering Design and Manufacturing, The 3rd On-line World Conference on Soft Computing (WSC3), Roy, R., Furuhashi, T., and Chawdhry, P.K. (Eds), Springer-Verlag, London, pp. 539-553, 1999.
Yao, Y.Y., Rough sets, neighborhood systems, and granular computing, Proceedings of the 1999 IEEE Canadian Conference on Electrical and Computer Engineering, pp. 1553-1558, 1999.

Granular computing and rough set theory

View papers on Rough Sets and Granular Computing

Back to Dr. Yiyu Yao's HomePage

web log stats