Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and
  Its Application to Sentence Similarity Computations
  Several research initiatives have been proposed for computing similarity
between two Fuzzy Sets in analysis through Fuzzy Rough Sets. These techniques
yield two measures viz. lower similarity and upper similarity. While in most
applications only one entity is useful to further analysis and for drawing
conclusions. The aim of this paper is to propose novel technique to combine
Fuzzy Rough Set based lower similarity and upper similarity using Fuzzy
Inference Engine. Further, the proposed approach is applied to the problem
computing sentence similarity and have been evaluated on SICK2014 dataset.
