Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Cardinality concepts for type-two fuzzy sets
Fuzzy Sets and Systems
An interval-valued fuzzy inference method: some basic properties
Fuzzy Sets and Systems
On two possible roles of type-2 fuzzy sets in linguistic summaries
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
IEEE Transactions on Fuzzy Systems
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters
IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Type-2 Fuzzy Summarization of Data: An Improved News Generating
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Uncertainty measures for general Type-2 fuzzy sets
Information Sciences: an International Journal
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
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Modern and effective methods of knowledge extraction from databases and information systems are required to provide rather linguistic than numerical information. The so-called linguistic summaries of databases by Yager [1], exemplified by Many children like sweet ice cream, and further improvements by George and Srikanth [2] and by Kacprzyk and Yager [3], are discussed in this paper. The use of type-2 fuzzy sets is an original contribution to the domain, since only ordinary fuzzy sets have been originally employed. Elements of type-2 semantics are shown to handle effectively pieces of imprecise information (e.g. fuzzy sets) stored in databases. An application on sample data is provided.