This book generalizes fuzzy logic systems for different types of uncertainty, including

- semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions

- lack of attributes or granularity arising from discretization of real data

- imprecise description of membership functions

- vagueness perceived as fuzzification of conditional attributes.

Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.

In...