Type-2 Fuzzy Logic and Systems

This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.

Offers a timely snapshot of type-2 fuzzy logic Reports on cutting-edge applications of type-2 fuzzy sets Discusses challenges and new directions in type-2 fuzzy logic

Inhalt
From T2 FS-based MoGoTW System to DyNaDF for Human and Machine Co-Learning on Go.- Ordered Novel Weighted Averages.- On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles.- Important and Challenging Issues for Interval Type-2 Fuzzy Control Research.- Type-2 Fuzzy Logic in pattern recognition applications.- Type-2 Fuzzy Logic Control in Computer Games.- A Type-2 Fuzzy Model to Prioritize Suppliers Based on Trust Criteria in Intelligent Agent-Based Systems.