Details
Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic
SpringerBriefs in Applied Sciences and Technology
CHF 59.00 |
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Verlag: | Springer |
Format: | |
Veröffentl.: | 28.03.2019 |
ISBN/EAN: | 9783030164164 |
Sprache: | englisch |
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Beschreibungen
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.
Presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic Demonstrates implementation in a modular neural network applied to face recognition and in an edge detector Offers a brief introduction to the potential use of the aggregation operators in real-world applications Discusses the basic concepts of type-1, interval type-2 and generalized type-2 fuzzy logic