Intro -- Fuzzy Information Processing 2023 -- Contents -- Accurate and Explainable Retinal Disease Recognition via DCNFIS -- 1 Introduction -- 2 Background Review -- 2.1 Deep Learning and Fuzzy Systems -- 2.2 Deep Learning in Medical Diagnosis -- 3 Methodology -- 3.1 Dataset -- 3.2 Proposed Architecture -- 3.3 Experimental Setup -- 4 Performance Evaluation -- 5 Interpretability -- 6 Conclusion -- References -- Fuzzy Inference System-Based Collision Avoidance of Unmanned Aerial Vehicles Optimized Using Genetic Algorithm -- 1 Introduction -- 2 System Modelling -- 3 Proposed Method -- 3.1 Waypoint Follower -- 3.2 Collision Detection (CD) -- 3.3 CA Using FIS -- 3.4 FIS Optimization Using a GA -- 4 Simulation Results -- 5 Conclusion -- References -- Air Traffic Control Using Fuzzy Logic -- 1 Introduction -- 2 Literature Review -- 2.1 Air Traffic Control -- 2.2 Fuzzy Logic -- 3 Methodology -- 3.1 Simulation Setup -- 3.2 Defining Scenarios -- 3.3 Binary System -- 3.4 Fuzzy Inference System -- 4 Results and Discussion -- 5 Conclusion -- References -- Data Driven Level Set Fuzzy Classification -- 1 Introduction -- 2 Level Set Fuzzy Classifier -- 3 Data-Driven Level Set Fuzzy Classifier -- 4 Classifier Comparison -- 4.1 Data Sets and Decision Boundaries -- 4.2 Classification Accuracy -- 5 Conclusion -- References -- Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation -- 1 Introduction -- 1.1 What We Plan to Do -- 1.2 Fuzzy Systems: Brief Reminder -- 1.3 Neural Networks: Brief Reminder -- 2 Main Results -- 2.1 Equivalence Between TS Fuzzy Systems with Triangular Membership and Neural Networks with ReLU Activation -- 2.2 Experimental Results -- 2.3 Possible Extensions to Multiple Inputs and Multiple Layers -- 3 Conclusions and Further Research -- References
Fuzzy Logic-Aided Inverse Kinematics Control for Redundant Manipulators -- 1 Introduction -- 2 Fuzzy Logic-Aided Inverse Kinematics (FLIK) Control -- 2.1 Description of Sub-tasks -- 2.2 Fuzzy Inference System (FIS) -- 3 Simulation Study -- 3.1 Description -- 3.2 Results -- 4 Conclusion -- References -- Interval Sequence: Choosing a Sequence of the Investment -- 1 Introduction -- 2 Preliminaries -- 3 Distances -- 4 Sequences -- 5 Application in Economics -- 6 Conclusion -- References -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- 1 Introduction -- 2 Methodology -- 2.1 Fuzzy Targeting -- 2.2 Aiming -- 2.3 Genetic Algorithm -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Calibration Error Estimation Using Fuzzy Binning -- 1 Introduction -- 2 Background -- 2.1 Neural Network Calibration -- 2.2 Expected Calibration Error -- 3 Fuzzy Calibration Error -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Developing System Requirements for Trustworthy AI Enabled Refueling Spacecraft -- 1 Introduction -- 2 Literature Review -- 2.1 Space Trusted Autonomy Readiness Levels -- 2.2 Sparse Requirements Systems Engineering -- 2.3 Model-Based Systems Engineering -- 2.4 Concept of Refueling Aerospace Vehicles -- 2.5 Trustworthy AI -- 3 Methodology -- 3.1 Systems Engineering -- 4 Results and Discussion -- 4.1 System Requirements -- 4.2 MBSE Models -- 5 Conclusion -- References -- Theoretical Explanation of Bernstein Polynomials' Efficiency -- 1 Formulation of the Problem -- 2 Optimal Functions Corresponding to Endpoints: Towards a Precise Description of the Problem -- 3 Optimal Functions Corresponding to Endpoints: Definitions and the Main Result -- 4 Optimal Combination Operations -- 5 Conclusions -- 6 Proofs -- References -- Forcing the Network to Use Human Explanations in Its Inference Process
1 Introduction -- 2 Architecture -- 2.1 The ForcedNet -- 2.2 Design Considerations -- 3 Case Study -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Deep Learning ANFIS Architectures -- 1 Introduction -- 2 Deep Learning ANFIS Architectures -- 3 Function Approximation -- 3.1 ANFIS Setup and Training -- 3.2 Experimental Results -- 4 Deep Q-Learning with ANFIS Layers -- 5 Conclusion -- References -- Growth Kinetics of Gold Nanoparticles via P-Fuzzy Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Sets Theory -- 2.2 P-Fuzzy Systems -- 3 Growth Kinects of Gold Nanoparticle Formation -- 3.1 Results -- 4 Chemical Reaction of Gold Nanoparticles via P-Fuzzy System -- 5 Final Remarks -- References -- Optimization of Artificial Potential Field Using Genetic Algorithm for Human-Aware Navigation of Autonomous Mobile Robots -- 1 Introduction -- 2 Preliminaries -- 2.1 Path Planning -- 2.2 Kinematics -- 2.3 Human Aware Navigation (HAN) -- 2.4 Genetic Algorithm (GA) -- 3 Proposed Approach -- 3.1 HAN-APF -- 3.2 GA Optimization -- 4 Simulation Study -- 5 Conclusion -- References -- Numerical Solutions of Fuzzy Population Models: A Case Study for Chagas' Disease Dynamics -- 1 Introduction -- 2 Basic Notions -- 3 Fuzzy Population Models in S(A) -- 3.1 The -Runge-Kutta Method -- 3.2 Chagas' Disease Dynamics -- 4 Final Remarks -- References -- Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023 -- 1 Introduction -- 2 About ACM/IEEE/AAAI CS2023: Updates and Concentrations -- 3 Knowledge Areas Intersecting Fuzzy -- 4 Fuzzy Education: Beyond Knowledge Areas -- 5 Summary and Discussion -- References -- Associative Property of Interactive Addition for Intervals: Application in the Malthusian Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Sets Theory -- 3 J0.5-Joint Possibility Distribution
4 Application in the Malthusian Model -- 4.1 Numerical Solution via Euler's Method -- 4.2 Numerical Solution via Runge-Kutta Method -- 5 Final Remarks -- References -- Genetic Fuzzy Passivity-Based Control Applied to a Robust Control Benchmark Problem -- 1 Introduction -- 1.1 Second-Order Systems -- 1.2 Passivity-Based Control -- 1.3 Robust Control Benchmark -- 1.4 Genetic Fuzzy Approach -- 2 Methodology -- 2.1 System Model -- 2.2 Performance Metrics -- 2.3 Genetic Training -- 3 Results and Discussion -- 4 Conclusions -- References -- Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship -- 1 Formulation of the Problem -- 2 Possible Application to Geosciences -- 3 Possible Application to Authorship -- References -- Comparison of Explanation Methods for Genetic Fuzzy Trees for Wine Quality Predictions -- 1 Introduction -- 2 GFT Creation and Initialization -- 2.1 GFT Structure -- 2.2 Explanation Methods -- 3 Supervised Learning Results -- 4 Explanations -- 4.1 Explanation for yt = 4 -- 4.2 Explanation for yt = 5 -- 4.3 Explanation for yt = 6 -- 4.4 Explanation for yt = 7 -- 5 Conclusion -- 5.1 Future Work -- References -- Review of a Fuzzy Logic Based Airport Passenger Flow Prediction System -- 1 Introduction -- 2 The System -- 3 Reflections on the Success of the Project -- References -- Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions -- 1 Introduction -- 2 Main Result -- 3 First Auxiliary Result -- 4 Second Auxiliary Result -- References -- On Truncating Fuzzy Numbers with -Levels -- 1 Introduction and Motivation -- 2 Basics on Fuzzy Numbers -- 3 A -Level Method for Truncating Fuzzy Numbers -- 4 Examples -- 4.1 Symmetric Examples -- 4.2 Asymmetric Examples -- 4.3 Computation of the Economic Order Quantity (EOQ) -- 5 Concluding Remarks -- References
A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- 1 Introduction -- 2 Satellite Mathematical Model -- 2.1 Kinematics -- 2.2 Dynamics -- 2.3 Temperature -- 3 Fuzzy Inference System -- 4 Optimization Problem -- 5 Results -- 6 Conclusion -- References -- Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology -- 1 Formulation of the Problem -- 2 What is Causality: A Brief Reminder and the Need to Distinguish Between Two Aspects of Causality -- 3 How Causality is Usually Described - and What is Missing in this Usual Description -- 4 How to Take into Account that We May Need Several Events to Cause the Observed Phenomenon -- 5 How to Take into Account that Causality is a Matter of Degree -- References -- Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty -- 1 Formulation of the Problem -- 2 Our Result -- 3 Discussion -- References -- Formal Descriptive Modeling for Self-verification of Fuzzy Network Systems -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Safety-Critical System Implementation -- 5 Conclusions -- References -- How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance -- 1 Formulation of the Problem -- 2 Our Explanation -- References -- Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory -- 1 Formulation of the Problem -- 2 Decision Making: A Brief Reminder -- 3 Resulting General Principles of Decision Making -- 4 The General Principles of Decision Making Are, in Effect, Exactly the Three Principles of the US Air Force -- References -- Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value -- 1 Formulation of the Problem