Title :
Fuzzy Similarity Measure between Heterogeneous Data
Author :
Ionescu, Mircea ; Ralescu, Anca ; Visa, Sofia
Author_Institution :
Univ. of Cincinnati, Cincinnati
Abstract :
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.
Keywords :
fuzzy set theory; vectors; component-based procedure; fuzzy Hamming distance; fuzzy similarity measure; proximity measure; Aggregates; Databases; Entropy; Euclidean distance; Footwear; Hamming distance; Remuneration; Standardization; fuzzy similarity measure; heterogeneous data;
Conference_Titel :
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-1213-7
Electronic_ISBN :
1-4244-1214-5
DOI :
10.1109/NAFIPS.2007.383884