Intro
Preface
Contents
How to Elicit Complex-Valued Fuzzy Degrees
1 Formulation of the Problem
2 Analysis of the Problem
3 So How to Elicit Complex-Valued Fuzzy Degrees: Algorithm and Discussion
4 Conclusions
References
Flutter Mitigation via Fuzzy Gain Scheduling of a Passivity-Based Controller
1 Introduction
1.1 Problem
1.2 Genetic Fuzzy Control
1.3 Benchmark Aerodynamic Controls Technology Model
2 Methodology
2.1 Standard Controller
2.2 Fuzzy Gain Scheduled Controller
3 Results and Discussion
4 Conclusions
References

A New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approach (SERA)
1 Introduction
2 Preliminaries
3 Methodology
4 Application
5 Conclusion
References
Genetic Fuzzy System for Pitch Control on a F-4 Phantom
1 Introduction
2 F-4 Fighter Pitch Angle Dynamic Behavior
3 Genetic Takagi-Sugeno-Kang Fuzzy Inference System
4 Conclusions and Future Works
References
Analyzing the Sars-Cov-2 Pandemic Outbreak Using Fuzzy Sets and the SIR Model
1 Introduction
2 The Sars-Cov-2 Pandemic
3 Basic Concepts on Fuzzy Sets

4 SIR Model
4.1 Fuzzy Solution and Asymptotic Behavior
4.2 Time-Varying Basic Reproductive Number
5 Application to Sars-Cov-2 Outbreak
5.1 Results
5.2 Comparing and Forecasting
6 Conclusion
References
Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking
1 Introduction
1.1 Related Work
2 Background
2.1 Linear Quadratic Regulator Control
2.2 Fuzzy-Based Bang-Bang Control
2.3 Genetic Algorithms
3 Methodology
3.1 Spacecraft Docking Problem
3.2 GA Approach
3.3 LQR Controller Approach
3.4 Fuzzy-Based Bang-Bang Controller Approach

3.5 Hybrid Fuzzy-LQR Controller Approach
4 Results
5 Conclusion
References
An Experimental Study on Fuzzy Markov Chains Under Mn Generalized Mean Relation
1 Introduction and Motivation
2 Fuzzy Markov Chains
2.1 Normalized Fuzzy Transition Matrix
2.2 Mn Generalized Mean and Its Use in Computing the Limiting Distribution of P
3 Illustrative Examples
3.1 Discussion of the Results
4 Concluding Remarks
References
An Approach to Simulation of Fuzzy Linguistic Variables
1 Introduction and Motivation
2 Basics on Fuzzy Numbers
2.1 Fuzzy Linguistic Variables

3 An Approach to Fuzzy Linguistic Random Variate Generation
3.1 Fuzzy Random Variate Generation for Linguistic Variables
3.2 Fuzzy Random Linguistic Value Generation
3.3 Fuzzy Random Variate Generation
4 Illustrative Example
5 Concluding Remarks
References
Why Sine Membership Functions
1 Formulation of the Problem
2 Our Explanation
3 Conclusions
References
Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions
1 Introduction
2 Mathematical Background
2.1 Elementary Lattice Theory Definitions