Spatial object classification and recognition based on symmetric fuzzy relative entropy

摘要

Based on fuzzy set theory, entropy, relative entropy and fuzzy entropy, the symmetric fuzzy relative entropy(SFRE) 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 spatial object recognition and classification, and its classification precision is very high.