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.

  • IECON 2005 - 31st Annual Conference of IEEE Industrial Electronics


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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Ant colony optimization for solving combinatorial fuzzy Job Shop Scheduling Problems

P. Surekha; P. RA. Mohanaraajan; S. Sumathi 2010 International Conference on Communication and Computational Intelligence (INCOCCI), 2010

In this paper, we present an ant colony optimization algorithm for solving the Job-shop Scheduling Problem (JSSP). Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ants, which is also used to solve this combinatorial optimization problem. In JSSP ants move from one machine (nest) to another machine (food source) depending upon the job flow, thereby ...


Automatic Fuzzy Clustering Based on Adaptive Multi-Objective Differential Evolution for Remote Sensing Imagery

Yanfei Zhong; Shuai Zhang; Liangpei Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013

Traditional automatic fuzzy clustering methods can obtain the optimal number of clusters by maximizing or minimizing one single-objective function using validity indexes. However, the effectiveness of these methods depends on the selection of the validity indexes, and one single-objective function may not provide satisfactory results because of the complexity of remote sensing images. For instance, the same land types may ...


A 2-D fuzzy logic based MRAS scheme for sensorless control of interior permanent magnet synchronous motor drives with cyclic fluctuating loads

Yang Mei; Kai Sun; Yuchao Shi Chinese Journal of Electrical Engineering, 2015

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. The adjustment of control parameters in MRAS is a key issue for IPMSM drive systems with cyclic fluctuating loads. In order to avoid the difficulties involved with manual tuning of the control parameters, a new MRAS scheme based on ...


Robust speed and position control based on neural and fuzzy techniques

Tomasz Pajchrowski; Krzysztof Zawirski 2007 European Conference on Power Electronics and Applications, 2007

The paper deals with the problem of robust speed and position control of electrical servo-drives. A robust speed controller is developed using a non- linear PI controller. The controller's non-linear characteristic is obtained by applying computational intelligence methods such as fuzzy logic or neuro techniques. Simulations and laboratory results validate the robustness of a servo-drive with a PMSM.


Fuzzy clusterization for logical function system minimization

R. A. Melnyk; A. A. Alexeyeyv Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings, 2003

The minimization approach for the system of logical functions based on fuzzy reduction tree or fuzzy clusterization is considered. The algorithms to form the reduction tree for graphs and covers to obtain minimal logical sentences are proposed


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Educational Resources on Fuzzy Logic

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eLearning

Ant colony optimization for solving combinatorial fuzzy Job Shop Scheduling Problems

P. Surekha; P. RA. Mohanaraajan; S. Sumathi 2010 International Conference on Communication and Computational Intelligence (INCOCCI), 2010

In this paper, we present an ant colony optimization algorithm for solving the Job-shop Scheduling Problem (JSSP). Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ants, which is also used to solve this combinatorial optimization problem. In JSSP ants move from one machine (nest) to another machine (food source) depending upon the job flow, thereby ...


Automatic Fuzzy Clustering Based on Adaptive Multi-Objective Differential Evolution for Remote Sensing Imagery

Yanfei Zhong; Shuai Zhang; Liangpei Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013

Traditional automatic fuzzy clustering methods can obtain the optimal number of clusters by maximizing or minimizing one single-objective function using validity indexes. However, the effectiveness of these methods depends on the selection of the validity indexes, and one single-objective function may not provide satisfactory results because of the complexity of remote sensing images. For instance, the same land types may ...


A 2-D fuzzy logic based MRAS scheme for sensorless control of interior permanent magnet synchronous motor drives with cyclic fluctuating loads

Yang Mei; Kai Sun; Yuchao Shi Chinese Journal of Electrical Engineering, 2015

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. The adjustment of control parameters in MRAS is a key issue for IPMSM drive systems with cyclic fluctuating loads. In order to avoid the difficulties involved with manual tuning of the control parameters, a new MRAS scheme based on ...


Robust speed and position control based on neural and fuzzy techniques

Tomasz Pajchrowski; Krzysztof Zawirski 2007 European Conference on Power Electronics and Applications, 2007

The paper deals with the problem of robust speed and position control of electrical servo-drives. A robust speed controller is developed using a non- linear PI controller. The controller's non-linear characteristic is obtained by applying computational intelligence methods such as fuzzy logic or neuro techniques. Simulations and laboratory results validate the robustness of a servo-drive with a PMSM.


Fuzzy clusterization for logical function system minimization

R. A. Melnyk; A. A. Alexeyeyv Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings, 2003

The minimization approach for the system of logical functions based on fuzzy reduction tree or fuzzy clusterization is considered. The algorithms to form the reduction tree for graphs and covers to obtain minimal logical sentences are proposed


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

  • Support Vector Machines

    This chapter contains sections titled: Risk Minimization Principles and the Concept of Uniform Convergence, The VC Dimension, Structural Risk Minimization, Support Vector Machine Algorithms

  • Single-Layer Networks

    This chapter contains sections titled: The Perceptron, The Adaptive Linear Neuron (Adaline) and the Least Mean Square Algorithm

  • Multilayer Perceptrons

    This chapter contains sections titled: The Error Backpropagation Algorithm, The Generalized Delta Rule, Heuristics or Practical Aspects of the Error Backpropagation Algorithm

  • Introduction to Pattern Recognition and Data Mining

    This introductory chapter of the book provides a brief review of pattern recognition, data mining, and application of pattern recognition algorithms in data mining problems. The objective of the book is to provide some results of investigations, both theoretical and experimental, addressing the relevance of rough-fuzzy approaches to pattern recognition with real-life applications. The chapter first briefly presents a description of the basic concept, features, and techniques of pattern recognition. It then elaborates the data mining aspect, discussing its components, tasks involved, approaches, and application areas. The chapter next introduces the pattern recognition perspective of data mining and mentions related research challenges. It describes the role of soft computing in pattern recognition and data mining. Finally, the chapter discusses the scope and organization of the book. fuzzy logic

  • Hybrid Fuzzy/PI Two-Stage Control

    Based on the two-stage strategy and the heuristics deduced from the field- oriented principle, a hybrid fuzzy/PI controller is proposed in this chapter. A fuzzy logic controller provides frequency control during the acceleration/deceleration stage, giving a large torque. A PI controller provides speed control by regulating the current magnitude during the steady- state stage. The performance of the two-stage controller approximates that of a field-oriented controller. Besides, the new controller has the advantages of simplicity and insensitivity to motor parameter changes.

  • Radial Basis Function Networks

    This chapter contains sections titled: Ill-Posed Problems and the Regularization Technique, Stabilizers and Basis Functions, Generalized Radial Basis Function Networks

  • Rough-Fuzzy Hybridization and Granular Computing

    During the past decade, there have been several attempts to derive hybrid methods by judiciously combining the merits of fuzzy logic and rough sets under the name rough-fuzzy or fuzzy-rough computing. The result is a more intelligent and robust system providing a human interpretable, low cost, approximate solution, as compared to traditional techniques. This chapter discusses some of the theoretical developments relevant to pattern recognition. It first briefly introduces the necessary notions of fuzzy sets and rough sets. The chapter then discusses the concepts of granular computing and fuzzy granulation and emergence of rough-fuzzy computing. It presents a mathematical framework of generalized rough sets for uncertainty handling and defining rough entropy. Finally, the chapter discusses various roughness and entropy measures with properties. fuzzy logic; fuzzy set theory; rough set theory

  • Fuzzy Sets and Fuzzy Logic

    This chapter contains sections titled: Fuzzy Sets Fuzzy Set Operations Extension Principle and Fuzzy Relations Fuzzy Logic and Fuzzy Inference Systems Multifactorial Evaluation Extracting Fuzzy Models from Data Review Questions and Problems References for Further Study

  • Prospects for Low???Energy Device Technology and Applications

    This chapter considers three types of integrated circuits (ICs): ultra???high???speed ICs (artificial intelligence or AI), ordinary high???speed ICs (motor control) and low???power ICs (data acquisition from various sensors). High???level AI architecture needs hardware with a self???control function based on a highspeed CPU and huge???scale memory. DC???DC converters are frequently used for robot motor control. Analog???to???digital converters are generally used to implement sensor functions and require more devices than DC???DC converters. It is known that the human brain does not offer high???speed signal processing, but its comprehensive decision function (so???called ???intelligence???) reveals very high performance with low???energy dissipation for its physical volume. Although scientists and engineers are still investigating how the human brain works, studies of circuits to simulate some brain functions have been performed widely, as well as research on advanced control technologies and fuzzy logic circuits.

  • Fuzzy Logic Controller as a Power System Stabilizer

    This chapter contains sections titled: Introduction FLC Structure FLC Design Fuzzy Rules FLC Parameter Tuning Automatic Rule Generation Fuzzy-Logic-Based Power System Stabilizer FLC Application to a Multimachine Power System Implementation and Experimental Studies Concluding Remarks This chapter contains sections titled: References



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