Imprecision Measures for Type-2 Fuzzy Sets: Applications to Linguistic Summarization of Databases

Authors:
Adam Niewiadomski
Affiliations:
Institute of Computer Science, Technical University of Łódź, Poland
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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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.