Interval type-2 fuzzy linguistic summarization using restriction levels


Neural Computing and Applications, vol.35, no.35, pp.24947-24957, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 35
  • Publication Date: 2023
  • Doi Number: 10.1007/s00521-023-09002-0
  • Journal Name: Neural Computing and Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, Index Islamicus, INSPEC, zbMATH
  • Page Numbers: pp.24947-24957
  • Keywords: Interval type-2 fuzzy set, Linguistic summarization, Restriction levels
  • Gazi University Affiliated: Yes


Using restriction levels and interval type-2 fuzzy sets into linguistic summarization evaluation is a novel strategy presented in this paper. The uncertainty and ambiguity in the linguistic summaries are handled by the suggested method by using interval type 2 fuzzy sets. While it complies with the requirements that evaluation methods should meet, the suggested method additionally makes use of restriction levels to offer a more reliable evaluation framework. On the basis of real-world data, the proposed method’s efficacy is shown. The findings demonstrate that the suggested approach can offer a thorough and precise evaluation of the linguistic summary techniques. The suggested method can assist practitioners and researchers in evaluating linguistic summaries results in a simple yet consistent fashion.