1. A computerized method of modeling a composite emotion in a multidimensional vector space, comprising: creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions; and creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space, each of the representative vectors corresponding to a center of a corresponding one of subspaces of the multidimensional vector space, wherein the creating the emotion vector space comprises: creating the subspaces by dividing every dimension of the multidimensional vector space into a same size; and calculating the representative vectors of the created subspaces and dividing the multidimensional vector space into the emotion regions to which the representative vector are respectively assigned.