A design of computational fuzzy set-based semantics for extracting linguistic summaries

In this paper, a membership function of the form S-function is applied to improve the quality of extracted linguistic summaries. Besides, the applied algorithm is parallelized to reduce running time. The experimental results with the creep dataset have demonstrated the effectiveness of the proposed method.