J. Chen

Work place: Geomatics Department, Nanjing Forestry University, Nanjing, China

E-mail: chenjian_cumt@126.com

Website:

Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms, Program Semantics

Biography

Jian Chen, born in Yanchen, Jiangshu Province, China, in August 1980. From 1999 to 2006, he studied at China University of Mining & Technology of Engineering and received the Bachelor and Master of degree at in Geodesy and Survey Engineering.
He has worked in Nanjing Forestry University since 2006, where he has been and still is a teacher. He has published several first-author papers. e.g., A Study on Data Processing of Dynamic Leveling Monitoring Network (Journal of Mineral Surveying, 2006(3):21-25), Research and Implementation of the Expression of 3D Scenic on Web (Journal of Engineering of Surveying and Mapping, 2006(3):54-57), etc. He is engaged in the study of deformation monitoring data processing and also be interesting in computer theory and application, especially in program design.

Author Articles
Fuzzy Pattern Recognition Based on Symmetric Fuzzy Relative Entropy

By Y.F. Shi L.H. He J. Chen

DOI: https://doi.org/10.5815/ijisa.2009.01.08, Pub. Date: 8 Oct. 2009

Based on fuzzy similarity degree, entropy, relative entropy and fuzzy entropy, the symmetric fuzzy relative entropy is presented, which not only has a full physical meaning, but also has succinct practicability. The symmetric fuzzy relative entropy can be used to measure the divergence between different fuzzy patterns. The example demonstrates that the symmetric fuzzy relative entropy is valid and reliable for fuzzy pattern recognition and classification, and its classification precision is very high.

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