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
Type-2 Fuzzy Summarization of Data: An Improved News Generating
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Imprecision Measures for Type-2 Fuzzy Sets: Applications to Linguistic Summarization of Databases
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Computing with words for hierarchical decision making applied to evaluating a weapon system
IEEE Transactions on Fuzzy Systems - Special section on computing with words
IEEE Transactions on Fuzzy Systems - Special section on computing with words
News generating via fuzzy summarization of databases
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Elements of the type-2 semantics in summarizing databases
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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The paper contains the propositions of employing type-2 fuzzy sets in linguistic summaries of databases. This new approach is the promising extension for ordinary linguistic summaries [1][4][14] and for recently introduced interval-valued linguistic summaries [11]. The two original concepts of a type-2 summarizer and a type-2 linguistic quantifier are proposed as the extensions for ordinary and interval-valued corresponding constructs. This innovation is supposed to provide better handling of natural language uncertainties that are impossible to be modelled with ordinary fuzzy sets. An application on sample data is presented.