Fuzzy Systems and Applications

Fuzzy systems have largely replaced conventional technologies in a large number of scientific applications and engineering systems, especially in the field of control systems and pattern recognition. This book covers different topics from fuzzy systems and applications, including fuzzy sets theory, fuzzy-based expert systems, fuzzy control systems and fuzzy applications in different domains.Dr. Zoran Gacovski’s current position is a full professor at the Faculty of Technical Sciences, “Mother Tereza” University, Skopje, Macedonia. His teaching subjects include Modeling and Simulation, Software engineering, Human-Computer interaction, and his areas of research are: information systems, intelligent control, machine learning, graphical models (Petri, Neural and Bayesian networks), and human-computer interaction. Prof. Gacovski has earned his PhD degree at Faculty of Electrical engineering, UKIM, Skopje. In his career he was awarded by Fulbright postdoctoral fellowship (2002) for research stay at Rutgers University, USA. He has also earned best-paper award at the Baltic Olympiad for Automation control (2002), US NSF grant for conducting a specific research in the field of human-computer interaction at Rutgers University, USA (2003), and DAAD grant for research stay at University of Bremen, Germany (2008 and 2012). ... Cover HalfTitle Page Title Page Copyright Declaration About the Editor Table of Contents List of Contributors List of Abbreviations Preface Section 1: Fuzzy Sets Theory Chapter 1: Gradual Sets: An Approach to Fuzzy Sets Abstract Introduction Gradual Elements Gradual Subsets Gradual Subgroups Conclusion Data Availability Disclosure Conflicts of Interest Acknowledgments References Chapter 2: The Approach to Probabilistic Decision-Theoretic Rough Set in Intuitionistic Fuzzy Information Systems Abstract Keywords Introduction Preliminaries Decision-theoretic Rough Set Based on Fuzzy Probability Approximation Space Case Study Decision-theoretic Based on if Probability Information System Case Study Conclusions References Chapter 3: Novel Generalized Divergence Measure on Intuitionistic Fuzzy Sets and Its Application Abstract Introduction Preliminaries New Parametric Divergence Measure on IFS Drawbacks of Other Measures of Divergence for IFS Application Conclusion References Section 2: Fuzzy Sets Theory Chapter 4: A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices Abstract Literature Review Methodology Discussion Conclusion and Future Research References Chapter 5: Enhanced Fuzzy Delphi Method in Forecasting and Decision-Making Abstract Introduction Preliminaries Notations and Remarks Fuzzy Delphi Method Numerical Example Discussion of the Results Conclusions and Future Works References Chapter 6: Fuzzy Logic Expert System for Classifying Solonchaks of Algeria Abstract Introduction Materials and Methods Results and Discussion Conclusion References Chapter 7: Type-2 Fuzzy Expert System Approach for Decision-Making of Financial Assets and Investing under Different Uncertainty Abstract Introduction Review of the Scientific Literature Type-2 Fuzzy Logic System Data and Methodology Creating the IT2FLS Model Results and Evaluations Conclusion and Future Search References Section 3: Fuzzy Control Systems Chapter 8: Fuzzy PID Control for Respiratory Systems Abstract Introduction Mathematical Model of Respiratory Systems Controller Design System’s Simulations and Results Conclusion References Chapter 9: Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System Abstract Introduction Generalized Bilateral Scheme System Modeling Fuzzy Rule Based Controller Design Simulation Results Conclusion References Chapter 10: Study on Fuzzy Self-Adaptive PID Control System of Biomass Boiler Drum Water* Abstract Introduction The Design of Fuzzy Controller The Control Rules of Fuzzy Controller Simulation Research Analysis of Simulation Results References Chapter 11: Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control Abstract Introduction Mathematical Model of Pmsm Design of Fuzzy Pid-variable Structure Adaptive Controller Proof of Stability Simulation Verification Experiment Verification Conclusion References Section 4: Fuzzy Applications in Different Domains Chapter 12: Design and Simulation of a Physician-Based Fuzzy System for Ventilator Adjustments in ARDS Patients to Ensure Lung Pro Abstract Introduction Ards Berlin Definition Materials and Methods Results and Discussion Conclusion References Chapter 13: Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods Abstract Introduction Materials and Methods Prototyping from Different Perspectives Results and Discussion Measurement of the Error in Models Discussion Conclusions References Chapter 14: A Novel Fuzzy Logic-Based Medical Expert System for Diagnosis of Chronic Kidney Disease Abstract Introduction Related Work Notations and Preliminaries The Proposed Methodology Experimental Results and Analysis Discussion Conclusion References Chapter 15: Fuzzy Systems in Education: A More Reliable System for Student Evaluation Introduction A Review of the Three Nodes Fuzzy Evaluation System Three Nodes System Based on Gaussian Membership Functions Comparison of the Methods Conclusions References Index Back Cover