Abstract:

Aiming at the fuzzy clustering problems of intuitionistic fuzzy sets data, a clustering technique based on objective function is proposed. For solving the problem of every character with asymmetrical weight, the method defines the weighted similar principle among intuitionistic fuzzy sets. By adding the nonmembership degree parameter to the partition matrix 〖WTHX〗U〖WTBZ〗 and objective function, the fuzzy cmeans (FCM) clustering algorithm is improved. Furthermore, the iterative reasoning formula and the algorithm description are presented. Thus the technique ascribes the clustering to a linear restricted programming issue, which is applied to the status of vast samples. Finally, the validity and superiority of the proposed technique are checked with an classical instance.