Work place: Geomatics Department, Nanjing Forestry University, Nanjing, China
E-mail: hlh8046@njfu.com.cn
Website:
Research Interests: Computer Science & Information Technology, Information Systems, Geographic Information System, Information Theory
Biography
Liheng He, born in Hunan province, China, in Dec. 1973, graduated from Academy of Surveying and Mapping of Wuhan Science and Technology of Surveying and Mapping University in 1997. In the same year, started working as a teacher at College of Civil Engineering, Nanjing Forestry University. In 2003, received Master degree in Physical Geography in Department of City and Resource, Nanjing University. In 2006, started to study for the Ph.D. in Physical Geography and now is a doctor student at College of Geography and Ocean Sciences of Nanjing University.
Her major is the acquirement, management, distribution and service of Cadastral Information, and published over 20 papers, The representative papers are Topographical Digitization on the Condition of AutoCAD R14(Journal of Nanjing Forestry University,2002), Research of Functions-oriented Municipal Land Management (Journal of Nanjing Forestry University, 2005), Dynamic Simulation of Ground Deformation Based on Animation (Geoinformatics 2008 and Joint Conference on GIS and Built Environment), etc.
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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