"Fuzzy Logic Systems Advances" ed. by Elmer Dadios

This book provides insights into understanding the principles and concepts behind the advances of fuzzy logic systems. It presents ideas concerning fuzzy logic systems and their technological applications. The book is arranged into two sections on theories and foundations of fuzzy logic systems and implementations of fuzzy logic systems in service to the community.

Fuzzy logic systems have been a hot topic in the scientific and academic community for more than half a century. The idea of making machines behave and make decisions like humans do is astounding. The development and implementation of fuzzy logic systems can be seen in various real physical applications in daily human life. The methods employed using fuzzy logic have resulted in innovative technologies.

Contents
1. Review of Type-1 and Type-2 Fuzzy Numbers
2. Decoupling of Attributes and Aggregation for Fuzzy Number Ranking
3. Computing the Performance Parameters of the Markovian Queueing System FM/FM/1 In Transient State
4. Development of L-Group Theory
5. Fuzzy Photogrammetric Algorithm for City Built Environment Capturing into Urban Augmented Reality Model
6. PID-like Fuzzy Controller Design for Anti-Slip System in Quarter-Car Robot
7. Methodology for the Implementation of a Fuzzy Controller on Arduino, MATLAB™ and Nexys 4™ Platforms
8. Performance Improvement for Fighter Aircraft Using Fuzzy Switching LQI Controller
9. Adaptive Neuro-Fuzzy Inference System-Based GPS-IMU Data Correction for Capacitive Resistivity Underground Imaging with Towed Vehicle System


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