Generalized Net Model of an Intuitionistic Fuzzy Clustering Technique for Biomedical Data
Parvathi Rangasamy, Stefan T. Hadjitodorov, Krassimir Todorov Atanassov, Peter Vassilev · Biotechnology & Biotechnological Equipment · 2012
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.