This book presents an extension of the aggregation operator of the generalized interval type-2
Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle
higher levels of uncertainty when adding any number of sources and types of information in a
wide variety of decision-making applications. The authors also demonstrate that the extended
aggregation operator offers better performance than other traditional or extended operators.
The book is a valuables reference resource for students and researchers working on theory and
applications of fuzzy logic in various areas of application where decision making is performed
under high levels of uncertainty such as pattern recognition time series prediction
intelligent control and manufacturing.
