Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Some new information measures for fuzzy sets
Information Sciences: an International Journal
Use of fuzziness measures in layered networks for object extraction: a generalization
Fuzzy Sets and Systems
Distance measure and induced fuzzy entropy
Fuzzy Sets and Systems
Feature normalization and likelihood-based similarity measures for image retrieval
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Similarity Computation of Fuzzy Membership Function Pairs with Similarity Measure
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
An advanced fuzzy C-mean algorithm for regional clustering of interconnected systems
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Similarity computation between fuzzy set and crisp set with similarity measure based on distance
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
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The similarity measure is derived using fuzzy entropy and distance measure. By the relations of fuzzy entropy, distance measure, and similarity measure, we first obtain the fuzzy entropy. And with both fuzzy entropy and distance measure, similarity measure is obtained. We verify that the proposed measure become the similarity measure.