A Relevance-Based Learning Model of Fuzzy Similarity Measures

@article{Capitaine2012ARL,
  title={A Relevance-Based Learning Model of Fuzzy Similarity Measures},
  author={Hoel Le Capitaine},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2012},
  volume={20},
  pages={57-68}
}
Matching pairs of objects is a fundamental operation in data analysis. However, it requires the definition of a similarity measure between objects that are to be matched. The similarity measure may not be adapted to the various properties of each object. Consequently, designing a method to learn a measure of similarity between pairs of objects is an important generic problem in machine learning. In this paper, a general framework of fuzzy logical-based similarity measures based on T-equalities… CONTINUE READING