Title :
Fuzzy Object Recognition Based on Fuzzy Relative Entropy
Author :
Yufeng, Shi ; Fengxiang, Jin
Author_Institution :
Geomatics Dept., Nanjing Forestry Univ., Nanjing
Abstract :
Based on fuzzy similarity degree, relative entropy and fuzzy entropy, novel fuzzy relative entropy is presented. The novel fuzzy relative entropy has a full physical meaning and succinct practicability and it can be used as a measurement to measure the difference between fuzzy patterns. The example demonstrates that the novel relative entropy is valid and reliable for fuzzy pattern recognition and classification.
Keywords :
entropy; fuzzy set theory; object recognition; pattern classification; fuzzy object recognition; fuzzy pattern classification; fuzzy pattern recognition; fuzzy relative entropy; fuzzy similarity degree; Educational technology; Entropy; Fuzzy set theory; Fuzzy sets; Object recognition; Pattern analysis; Pattern classification; Pattern recognition; Space technology; Speech analysis; Entropy; Fuzzy object recognition; Fuzzy relative entropy;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.738
