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Neural Computing and Applications

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16.09.2023 | Original Article

Interval type-2 fuzzy linguistic summarization using restriction levels

verfasst von: Sena Aydogan

Erschienen in: Neural Computing and Applications | Ausgabe 35/2023

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Abstract

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.

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Titel: Interval type-2 fuzzy linguistic summarization using restriction levels
verfasst von: Sena Aydogan
Publikationsdatum: 16.09.2023
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 35/2023
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-023-09002-0

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