Fuzzy Prototypes for Fuzzy Data Mining
Maria Rifqi, Sophie Monties · Studies in fuzziness and soft computing · 2000
This paper shows a summarization method. We focus on the construction of fuzzy prototypes by means of typical values. For this purpose, we use a formal framework of measures of comparison of values of attributes of data for the management of fuzzy databases especially for data mining. One of the originalities of this paper lies in the fact that values are fuzzy. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.