Fuzzy Similarity Measure between Heterogeneous Data

Evaluating the proximity measure between heterogeneous data is very important since many datasets are heterogeneous. The application of classical proximity measures must insure a consistent meaning of proximity, by providing a consistent result across any domain with any scale. This paper investigates the application of fuzzy Hamming distance as a implementation of a component-based procedure for proximity measure.