Conferences related to Fuzzy Logic

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2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

Control Systems & ApplicationsPower ElectronicsSignal Processing & Computational IntelligenceRobotics & MechatronicsSensors, Actuators & System IntegrationElectrical Machines & DrivesFactory Automation & Industrial InformaticsEmerging Technologies

  • 2012 IEEE 21st International Symposium on Industrial Electronics (ISIE)

    IEEE-ISIE is the largest summer conference of the IEEE Industrial Electronics Society, which is an international forum for presentation and discussion of the state of art in Industrial Electronics and related areas.

  • 2011 IEEE 20th International Symposium on Industrial Electronics (ISIE)

    Industrial electronics, power electronics, power converters, electrical machines and drives, signal processing, computational intelligence, mechatronics, robotics, telecommuniction, power systems, renewable energy, factory automation, industrial informatics.

  • 2010 IEEE International Symposium on Industrial Electronics (ISIE 2010)

    Application of electronics and electrical sciences for the enhancement of industrial and manufacturing processes. Latest developments in intelligent and computer control systems, robotics, factory communications and automation, flexible manufacturing, data acquisition and signal processing, vision systems, and power electronics.

  • 2009 IEEE International Symposium on Industrial Electronics (ISIE 2009)

    The purpose of the IEEE international conference is to provide a forum for presentation and discussion of the state-of art of Industrial Electronics and related areas.


2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

CIBCB 2014 will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields. Computational Intelligence approaches include artificial neural networks and learning systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.

  • 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

    The CIBCB 2013 symposium will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real-world problems in theoretical and applied biology, bioinformatics, computational biology, chemical informatics, bioengineering and related fields. Computational Intelligence (CI) approaches include artificial neural networks, fuzzy logic, evolutionary computation, hybrid approaches and other emerging techniques including but not limited to ant colony optimization, particle swarm optimization, and support vector machines.The use of computational intelligence must play a substantial role in submitted papers.

  • 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

    The scope of this symposium covers the application of computational Intelligence techniques, such as evolutionary computation, neural networks and fuzzy systemsand, to real world problems in biology, including bioinformatics, computational biology, chemical informatics, bioengineering and related fields.

  • 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

    This symposium will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering and related fields.


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

Applications of power electronics, artificial intelligence, robotics, and nanotechnology in electrification of automotive, military, biomedical, and utility industries.

  • IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

    Industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.

  • IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics

    The conference will be focusing on industrial and manufacturing theory and applications of electronics,power, sustainable development, controls, communications, instrumentation and computational intelligence.

  • IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics

    industrial applications of electronics, control, robotics, signal processing, computational and artificial intelligence, sensors and actuators, instrumentation electronics, computer networks, internet and multimedia technologies.

  • IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics

    IECON is an international conference on industrial applications of electronics, control, robotics, signal processing, computational and artificial intelligence, sensors and actuators, instrumentation electronics, computer networks, internet and multimedia technologies. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science, technology, and fellowship.

  • IECON 2009 - 35th Annual Conference of IEEE Industrial Electronics

    Applications of electronics, instrumentation, control and computational intelligence to industrial and manufacturing systems and process. Major themes include power electronics, drives, sensors, actuators, signal processing, motion control, robotics, mechatronics, factory and building automation, and informatics. Emerging technologies and applications such as renewable energy, electronics reuse, and education.


2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.


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Periodicals related to Fuzzy Logic

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


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Xplore Articles related to Fuzzy Logic

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Investigation of the Type-2 Fuzzy Logic Approach to Classification in an EEG-based Brain-Computer Interface

P. Herman; G. Prasad; T. M. McGinnity 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

Analysis of electroencephalogram (EEG) requires a framework that facilitates handling the uncertainties associated with the varying brain dynamics and the presence of noise. Recently, the type-2 fuzzy logic systems (T2 FLSs) have been found effective in modeling uncertain data. This paper examines the potential of the T2 FLS methodology in devising an EEG-based brain-computer interface (BCI). In particular, a T2 ...


Novel hybrid maximum power point tracking algorithm for PV systems under partially shaded conditions

Shahrooz Hajighorbani; M. A. M Radzi; M. Z. A. Ab Kadir; S. Shafie 2015 10th Asian Control Conference (ASCC), 2015

Photovoltaic (PV) system has non-linear powervoltage (P-V) characteristic with single maximum power point (MPP) in uniform condition. The P-V curve would be more complicated during partially shaded (PS) conditions (PSCs) when multi- peak powers exist. The point with the highest value of power among the multi- peak powers is called global maximum power point (GMPP). In this paper, a novel ...


Genetic algorithm based path planning for a mobile robot

Jianping Tu; S. X. Yang 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003

In this paper, a novel genetic algorithm based approach to path planning of a mobile robot is proposed. The major characteristic of the proposed algorithm is that the chromosome has a variable length. The location target and obstacles are included to find a path for a mobile robot in an environment that is a 2D workplace discretized into a grid ...


Design of observer-based fuzzy sliding-mode control for an active suspension system with full-car model

Chia-Ping Cheng; Chan-Hong Chao; Tzuu-Hseng S. Li 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010

The main goal of this study is to design a full-car active suspension controller with a reduced order observer for vehicles so as to improve ride comfort and reduce the suspension deflection. The proposed fuzzy sliding-mode control (FSMC) consists of the sliding-mode control (SMC) and the fuzzy logic control (FLC), where the SMC can decrease the suspension deflection of the ...


Hybrid motion control of a mobile robot in dynamic environments

V. Kh Pshikhopov; Ahmed S. Ali 2011 IEEE International Conference on Mechatronics, 2011

The general principles of position-trajectory control PTC for mobile robot motion are presented first. The position-trajectory control PTC path planner is then combined with fuzzy logic inference engine and implemented for mobile robot navigation in a 2-D dynamic environment. The proposed method treats the problems of escaping from trap situations, and the robot motion in narrow passages. The Simulation results ...


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Educational Resources on Fuzzy Logic

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eLearning

Investigation of the Type-2 Fuzzy Logic Approach to Classification in an EEG-based Brain-Computer Interface

P. Herman; G. Prasad; T. M. McGinnity 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

Analysis of electroencephalogram (EEG) requires a framework that facilitates handling the uncertainties associated with the varying brain dynamics and the presence of noise. Recently, the type-2 fuzzy logic systems (T2 FLSs) have been found effective in modeling uncertain data. This paper examines the potential of the T2 FLS methodology in devising an EEG-based brain-computer interface (BCI). In particular, a T2 ...


Novel hybrid maximum power point tracking algorithm for PV systems under partially shaded conditions

Shahrooz Hajighorbani; M. A. M Radzi; M. Z. A. Ab Kadir; S. Shafie 2015 10th Asian Control Conference (ASCC), 2015

Photovoltaic (PV) system has non-linear powervoltage (P-V) characteristic with single maximum power point (MPP) in uniform condition. The P-V curve would be more complicated during partially shaded (PS) conditions (PSCs) when multi- peak powers exist. The point with the highest value of power among the multi- peak powers is called global maximum power point (GMPP). In this paper, a novel ...


Genetic algorithm based path planning for a mobile robot

Jianping Tu; S. X. Yang 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2003

In this paper, a novel genetic algorithm based approach to path planning of a mobile robot is proposed. The major characteristic of the proposed algorithm is that the chromosome has a variable length. The location target and obstacles are included to find a path for a mobile robot in an environment that is a 2D workplace discretized into a grid ...


Design of observer-based fuzzy sliding-mode control for an active suspension system with full-car model

Chia-Ping Cheng; Chan-Hong Chao; Tzuu-Hseng S. Li 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010

The main goal of this study is to design a full-car active suspension controller with a reduced order observer for vehicles so as to improve ride comfort and reduce the suspension deflection. The proposed fuzzy sliding-mode control (FSMC) consists of the sliding-mode control (SMC) and the fuzzy logic control (FLC), where the SMC can decrease the suspension deflection of the ...


Hybrid motion control of a mobile robot in dynamic environments

V. Kh Pshikhopov; Ahmed S. Ali 2011 IEEE International Conference on Mechatronics, 2011

The general principles of position-trajectory control PTC for mobile robot motion are presented first. The position-trajectory control PTC path planner is then combined with fuzzy logic inference engine and implemented for mobile robot navigation in a 2-D dynamic environment. The proposed method treats the problems of escaping from trap situations, and the robot motion in narrow passages. The Simulation results ...


More eLearning Resources

IEEE.tv Videos

Hamid R Tizhoosh - Fuzzy Image Processing
The Sorites Paradox: Introduction to Fuzzy Logic
The Hertzsprung-Russell Diagram: Introduction to Fuzzy Logic
A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal
Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
Norbert Wiener in the 21st Century Conference Concept
Dynamic Logic Example
Evolving Fuzzy Systems: A Granular Computing Design Framework
Type-2 Fuzzy Sets and Systems: Some Questions and Answers (edited)
Towards Logic-in-Memory circuits using 3D-integrated Nanomagnetic Logic - Fabrizio Riente: 2016 International Conference on Rebooting Computing
Computing with Words: Towards an Ultimately Human Centric Computing Paradigm
Valerie Cross - Similarity from Fuzzy Sets to Semantic Similarity and Their Role on the Semantic Web
Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016
Sparse Fuzzy Modeling - Nikhil R Pal - WCCI 2016
FinSAL: A Novel FinFET Based Secure Adiabatic Logic for Energy-Efficient and DPA Resistant IoT Devices - Himanshu Thapliyal: 2016 International Conference on Rebooting Computing
2013 IEEE Robert N. Noyce Medal
Provably-Correct Robot Control with LTLMoP, OMPL and ROS
Erasing Logic-Memory Boundaries in Superconductor Electronics - Vasili Semenov: 2016 International Conference on Rebooting Computing
Fuzzy Sets and Social Research - Charles C. Ragin - WCCI 2016
Low-energy High-performance Computing based on Superconducting Technology

IEEE-USA E-Books

  • Introduction to Type-2 Fuzzy Sets

    This chapter provides background materials about type-2 fuzzy sets (T2 FSs). To begun with, it reviews type-1 fuzzy sets (T1 FSs) because T2 FSs build upon T1 FSs. The chapter provides a lot of information about interval type-2 fuzzy sets (IT2 FSs). It then provides an introduction to the general type-2 fuzzy sets (GT2 FSs) because such sets are the wave of the future. The chapter shows how to derive formulas for the union and intersection of two IT2 FSs and also the formula for the complement of an IT2 FS because these operations are widely used in an IT2 FLC. Historically, the Karnik-Mendel (KM) algorithms were the first, and are still the most widely used, algorithms for computing the switch points. These algorithms are summarized in the chapter.

  • Frontmatter

    This chapter contains sections titled: Half Title IEEE Press Board Page Title Copyright Dedication Contents Preface Acknowledgments Introduction Half Title

  • Looking into the Future

    This chapter focuses on where we feel T2 FL control should be heading. The authors of each section are identified and have an opportunity to express their viewpoints on where they feel T2 FL control should be heading. The book presents the foundations of IT2 FL control and provides several methodologies for modeling and control that utilize this advanced approach. The emphasis is on the simplest kind of T2 FL control, namely IT2 FL control that uses singleton fuzzification. Mamdani IT2 FLCs as discussed throughout most of this book are based on IT2 FSs. The book demonstrates that IT2 FL control is a diverse field of rich promise; however, a central challenge is to increase the number of applications and users in order to bring IT2 FL control into the mainstream of automation and control.

  • Selected Abbreviations

    This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

  • Interval Type-2 Fuzzy Logic Controllers

    This chapter begins with short reviews of T1 Mamdani and TSK FLCs so as to set the stage for the complete descriptions of IT2 Mamdani and TSK FLCs. It focuses on the Wu-Mendel uncertainty bounds (WM UBs), which have let IT2 Mamdani FLCs run in real time. The chapter discusses about control performance for Interval Type-2 Fuzzy Logic Controllers (IT2 FLCs). It describes the two ways to determine FOU parameters of IT2 FLCs. The iterative nature of the EKM algorithms introduces time delays that may lead to unpredictability, reduced performance, or even system instability in a fuzzy logic control system.

  • Biological Neural Networks

    This chapter contains sections titled: Neuron Physiology Neuronal Diversity Specifications of the Brain The Eye's Neural Network Areas for Further Investigation Review Questions References

  • Armchair Missions to Mars

    This chapter contains sections titled: Modeling a Team of Astronauts, Modeling the Mission Process, Using Case-Based Reasoning, The Case-Retrieval Mechanism, The Adaptation Algorithm, Rules and Fuzzy Logic, Conclusions and Future Work

  • Optical Components

    "Companies and research labs worldwide are racing to develop Dense Wavelength Division Multiplexing (DWDM) technology, a far-reaching advancement in the fiber optical communications field. To help you keep pace with these latest developments, this all-in-one resource brings you a clear, concise overview of the technology that is transporting and processing vast amounts of information at the speed of light. Until now, no book offered a practical introduction to DWDM advances. INTRODUCTION TO DWDM TECHNOLOGY will help you learn all the essentials for this emerging field: * Principles of physics underlying optical devices * Optical components needed to design optical and DWDM systems * Coding and decoding techniques used in optical communications * Overview of DWDM systems * State-of-the-art research trends Complete with four-color illustrations to show how devices work, this comprehensive book provides an invaluable discussion of DWDM basics necessary for practicing electrical engineers, optical systems designers, technical managers, and undergraduate students in optical communications. Go to htttp://www.ieee.org/organizations/pubs/press/Kartfm.pdf for a complete Table of Contents and a look at the Introduction. You can check out Chapter 5, ""Optical Demultiplexers"" by clicking on http://www.ieee.org/organizations/pubs/press/KartCh5.pdf About the Author Stamatios V. Kartalopoulos is currently on the staff of the Optical Networks Group of Lucent Technologies, Bell Labs Innovations, formerly known as AT&T.; His research interests include ATM and SONET/SDH systems, ultrafast pattern recognition, IP and DWDM, access enterprise systems, local area networks, fiber networks, satellite systems, intelligent signal processing, neural networks, and fuzzy logic. He holds several patents of which six patents (and six pending) are in communications and optical communications systems." Sponsored by: IEEE Communications Society

  • Fuzzy Sets and Fuzzy Neural Networks

    Fuzzy Sets and Systems: An Overview Building Fuzzy Neurons (FNs) Using Fuzzy Arithmetic and Fuzzy Logic Operations Learning and Adaptation for Fuzzy Neurons (FNs) Regular Fuzzy Neural Networks (RFNNs) Hybrid Fuzzy Neural Networks (HFNNs) Fuzzy Basis Function Networks (FBFNs) Concluding Remarks Problems

  • Appendix A T2 FLC Software: From Type-1 to zSlices-Based General Type-2 FLCs

    No abstract.



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