GENERALIZED NET MODEL OF AN INTUITIONISTIC FUZZY CLUSTERING TECHNIQUE FOR BIOMEDICAL DATA

摘要

Due to explosion in the number of autonomous data sources, there is an emergent need for effective approaches to distributed clustering. Intuitionistic Fuzzy Set is a suitable tool to cope with imperfectly defined facts and data, as well as with imprecise knowledge. One of the authors introduced a novel intuitionistic fuzzy based distributed clustering algorithm, to cluster distributed datasets, without necessarily downloading all the data into a single site in two different levels: local level and global level. In this paper, a generalized net model of the algorithm is presented.