Abstract
Generation of linguistic summaries that are compact, short and relevant to the user remains an open challenge. In this paper, we propose a novel method for improving the generation of linguistic summaries inspired by the a-priori algorithm and the degree of appropriateness. The method generates all true summaries with related predicates in the summarizer, resulting in a small set of linguistic summaries, whose presentation to the user is compact. We tested our method on three real world data sets. The results indicate that our proposed approach is a good alternative to previous methods suggested for generating linguistic summaries.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 9-12 July 2017, Naples, Italy |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-6034-4 |
| ISBN (Print) | 978-1-5090-6035-1 |
| DOIs | |
| Publication status | Published - 23 Aug 2017 |