Linguistic Vector Similarity Measures and Applications to Linguistic Information Classification
Phạm Hồng Phong, Lê Hoàng Sơn · International Journal of Intelligent Systems · 2016
In this paper, we generalize the similarity degree for linguistic labels to the so-called the linguistic similarity measure. Linguistic vector, whichcan be used to represent objects whose attributes are given in terms of linguistic labels, is defined. Some mathematical properties are stated and proved. The linguistic vector similarity measure is developed and applied to linguistic information classification. Experimental results on real data confirm the effectiveness of the proposed method.