  This research paper proposes a novel Neighbourhood Rough Set based approach
for supervised Multi-document Text Summarization (MDTS) with analysis and
impact on the summarization results for MDTS. Here, Rough Set based LERS
algorithm is improved using Neighborhood Rough Set which is itself a novel
combination called Neighborhood-LERS to be experimented for evaluations of
efficacy and efficiency. In this paper, we shall apply and evaluate the
proposed Neighborhood-LERS for Multi-document Summarization which here is
proved experimentally to be superior to the base LERS technique for MDTS.
