Objective function clustering based on etropy intuitionistic fuzzy
Zhen Dai · Jisuanji gongcheng yu sheji · 2009
To the problem that making fuzzy clustering extend intuitionistic fuzzy clustering possesses significant value of theoretics and application research.Firstly,intuitionistic fuzzy etropy is researched,and a clustering object function thinking based on intuitionistic fuzzy is presented.Then,parameters of object function is evaluated by Lagrange theorem,and clustering algorithm based on intuitionistic fuzzy etropy is presented.At last,classical experiment has indicated that the performance of the algorithm is better than fuzzy clustering and the clustering right rate is improved.