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Imprecision measures for type-2 fuzzy sets: Applications to linguistic summarization of databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5097 LNAI 285-294
DOI: 10.1007/978-3-540-69731-2_28
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Abstract

The paper proposes new definitions of (im)precision measures for type-2 fuzzy sets representing linguistic terms and linguistically quantified statements. The proposed imprecision measures extend similar concepts for traditional (type-1) fuzzy sets, cf. [1,2]. Applications of those new concepts to linguistic summarization of data are proposed in the context of the problem statement of finding the best summaries. © 2008 Springer-Verlag Berlin Heidelberg.

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Niewiadomski, A. (2008). Imprecision measures for type-2 fuzzy sets: Applications to linguistic summarization of databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 285–294). https://doi.org/10.1007/978-3-540-69731-2_28

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