Abstract
It is almost trivial to say that fuzzy sets and fuzzy logic are one of the most powerful computing methods for natural language-driven representation of information. Despite, in this chapter, we focus on extensions of Zadeh’s concepts, and these extensions are called “general type-2 fuzzy sets” or “higher-order fuzzy sets.” They cover some more specific groups, like interval-valued (interval type-2) fuzzy set, triangular or Gaussian type-2 fuzzy sets, and even the traditional fuzzy sets. To be more precise, here we are interested in applying type-2 fuzzy sets to relational database exploration. The point of departure is the concept of a linguistic summary of a database by Yager (1982).
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