Most existing clustering methods to intuitionistic fuzzy sets do not take the weight of attributes into account or
need too complex calculation and the result is real number. Therefore, a clustering method based on the intuitionistic fuzzy
similarity degree with the result being intuitionistic fuzzy number is proposed. Firstly, the weight of attributes is obtained
by utilizing entropy for intuitionistic fuzzy sets. A formula is proposed to derive the intuitionistic fuzzy similarity degree
between two intuitionistic fuzzy sets and an approach is developed to construct an intuitionistic fuzzy similarity matrix. A
risk parameter is designed and decision makers can cluster according to their own risk preference. Finally, an example shows
the feasibility and validity of this method.