A Ten-year Review of Granular Computing

The year 2007 marks the 10th anniversary of the introduction of granular computing research. We have experienced the emergence and growth of granular computing research in the past ten years. It is essential to explore and review the progress made in the field of granular computing. We use two popular databases, ISI's Web of Science and IEEE Digital Library to conduct our research. We study the current status, the trends and the future direction of granular computing and identify prolific authors, impact authors, and the most impact papers in the past decade.

[1]  Ewa Orlowska,et al.  A logic of indiscernibility relations , 1984, Symposium on Computation Theory.

[2]  Yiyu Yao,et al.  Perspectives of granular computing , 2005, 2005 IEEE International Conference on Granular Computing.

[3]  Jingtao Yao,et al.  Information granulation and granular relationships , 2005, 2005 IEEE International Conference on Granular Computing.

[4]  Lotfi A. Zadeh.  Key Roles of Information Granulation and Fuzzy Logic in Human Reasoning, Concept Formulation and Computing with Words , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[5]  Diana Crane,et al.  Invisible colleges. Diffusion of knowledge in scientific communities , 1972, Medical History.

[6]  WILLIAM GOFFMAN,et al.  Mathematical Approach to the Prediction of Scientific Discovery , 1971, Nature.

[7]  Jerry R. Thomas,et al.  The 75th Anniversary of Research Quarterly for Exercise and Sport , 2005, Research quarterly for exercise and sport.

[8]  Steffen Bickel,et al.  Unsupervised prediction of citation influences , 2007, ICML '07.

[9]  Lotfi A. Zadeh,et al.  Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems , 1998, Soft Comput..

[10]  Qing Liu,et al.  The Research of Rough Sets in Normed Linear Space , 2006, RSCTC.

[11]  Andrzej Bargiela,et al.  The roots of granular computing , 2006, 2006 IEEE International Conference on Granular Computing.

[12]  Akira Nakamura,et al.  A rough logic based on incomplete information and its application , 1996, Int. J. Approx. Reason..

[13]  Henry G. Small,et al.  Tracking and predicting growth areas in science , 2006, Scientometrics.

[14]  Qing Liu.  The OI-Resolution of Operator Rough Logic , 1998, Rough Sets and Current Trends in Computing.

[15]  E. Garfield,et al.  Of Nobel class: A citation perspective on high impact research authors , 1992, Theoretical medicine.

[16]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[17]  Md. Aquil Khan,et al.  Propositional Logics from Rough Set Theory , 2007, Trans. Rough Sets.

[18]  Yiyu Yao,et al.  The Art of Granular Computing , 2007, RSEISP.

[19]  Yiyu Yao,et al.  Induction of Classification Rules by Granular Computing , 2002, Rough Sets and Current Trends in Computing.

[20]  Lotfi A. Zadeh,et al.  Generalized theory of uncertainty (GTU) - principal concepts and ideas , 2006, Comput. Stat. Data Anal..

[21]  Qing Liu.  Granules and Reasoning Based on Granular Computing , 2003, IEA/AIE.

[22]  Philip Ball,et al.  Index aims for fair ranking of scientists , 2005, Nature.

[23]  Dag W. Aksnes,et al.  Citation rates and perceptions of scientific contribution , 2006 .

[24]  Wolfgang Glänzel,et al.  A Hirsch-type index for journals , 2006, Scientometrics.