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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A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive

Benudhar Sahu; K. B. Mohanty; Swagat Pati 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

This paper presents simulation results obtained from a feedforward vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. Here fuzzy logic controller is used for controlling the speed. The performance of fuzzy logic controller has been investigated and compared with the conventional PI controller based drive. The simulation ...


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 ...


Novel direct torque control for induction motors using short voltage vectors of matrix converters

C. Ortega; A. Arias; X. del Toro; E. Aldabas; J. Balcells 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., 2005

This paper investigates the use of short voltage vectors of matrix converters to reduce the electromagnetic torque ripple which appears when direct torque control technique is used in induction motors. Direct torque control for induction motors using matrix converters is reviewed and it is pointed out the problem of the electromagnetic torque ripple which is one of the most important ...


Performance improvement with a robust self tuned fuzzy logic controller for generator control in wind energy system

Swagat Pati; K. B. Mohanty; Benudhar Sahu 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

In this paper a line excited cage generator is considered which is connected with the grid through a bidirectional PWM converter-inverter system. The generator is controlled by indirect field oriented control (IFOC) scheme. Fuzzy logic controllers (FLC) are used for the control purpose. The first FLC is used in the outer speed loop to track the generator speed with the ...


Modified intelligent fuzzy controller of tracking a Hard Disk Drive actuator using the approaching index switch

P. Selvakumar; T. Kannadasan 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

This paper uses a new switching control algorithm called the approaching index. A closed-loop index is designed to decide if the system is approaching the final destination or not. The index is used in the online switching rule to select the adequate controller output policy to be applied to the system during each control period. Here, it is allowed to ...


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Educational Resources on Fuzzy Logic

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eLearning

A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive

Benudhar Sahu; K. B. Mohanty; Swagat Pati 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

This paper presents simulation results obtained from a feedforward vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. Here fuzzy logic controller is used for controlling the speed. The performance of fuzzy logic controller has been investigated and compared with the conventional PI controller based drive. The simulation ...


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 ...


Novel direct torque control for induction motors using short voltage vectors of matrix converters

C. Ortega; A. Arias; X. del Toro; E. Aldabas; J. Balcells 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., 2005

This paper investigates the use of short voltage vectors of matrix converters to reduce the electromagnetic torque ripple which appears when direct torque control technique is used in induction motors. Direct torque control for induction motors using matrix converters is reviewed and it is pointed out the problem of the electromagnetic torque ripple which is one of the most important ...


Performance improvement with a robust self tuned fuzzy logic controller for generator control in wind energy system

Swagat Pati; K. B. Mohanty; Benudhar Sahu 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

In this paper a line excited cage generator is considered which is connected with the grid through a bidirectional PWM converter-inverter system. The generator is controlled by indirect field oriented control (IFOC) scheme. Fuzzy logic controllers (FLC) are used for the control purpose. The first FLC is used in the outer speed loop to track the generator speed with the ...


Modified intelligent fuzzy controller of tracking a Hard Disk Drive actuator using the approaching index switch

P. Selvakumar; T. Kannadasan 2010 International Conference on Industrial Electronics, Control and Robotics, 2010

This paper uses a new switching control algorithm called the approaching index. A closed-loop index is designed to decide if the system is approaching the final destination or not. The index is used in the online switching rule to select the adequate controller output policy to be applied to the system during each control period. Here, it is allowed to ...


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

  • Dense Wavelength Division Multiplexing

    "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

  • DWDM Current Issues and Research

    "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

  • 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.

  • From Logic Expressions to Fuzzy Logic Networks

    This chapter contains sections titled: Introduction Main categories of fuzzy neurons Uninorm-based fuzzy neurons Architectures of logic networks The development mechanisms of the fuzzy neural networks Interpretation of the fuzzy neural networks From fuzzy logic networks to Boolean functions and their minimization through learning Interfacing the fuzzy neural network Interpretation aspects - a refinement of induced rule-based system Reconciliation of perception of information granules and granular mappings Conclusions Exercises and problems Historical notes References

  • Fuzzy Systems

    Fuzzy logic was transformed from a 'buzz word' to an important technological area, with many publications in conferences and transactions. Many Japanese products applying fuzzy concepts, such as household appliances and electronic equipment, have been manufactured. This chapter presents a relation of classical and fuzzy sets and concepts of fuzzy graphs and fuzzy relations. It also presents the foundation of fuzzy logic, with the fuzzification inference process and defuzzification process. The chapter explores a popular fuzzy model to represent complex systems and an application of fuzzy control. A fuzzy decision system provides a mapping between input and output variables. The chapter also mentions some application areas of fuzzy techniques. It describes principal definitions and concepts of the classical Cantor's sets that are well¿¿?known in order to guide the readers about the notation and a comparison with the similar concepts in fuzzy sets theory.

  • Selection of Discriminative Genes from Microarray Data

    This chapter establishes the effectiveness of the fuzzy equivalence partition matrix (FEPM) for the problem of gene selection from microarray data and compares its performance with some existing methods on a set of microarray gene expression data sets. It first briefly introduces various evaluation criteria used for computing both the relevance and redundancy of the genes. To measure both gene-class relevance and gene-gene redundancy using information theoretic measures such as entropy, mutual information, and f-information measures, the true density functions of continuous-valued genes have to be approximated. The chapter presents several approaches to approximate the true probability density function for continuous-valued gene expression data. It then describes the problem of gene selection from microarray data sets using information theoretic approaches. Finally, the chapter reports a few case studies and a comparison among different approximation methods. fuzzy logic; numerical analysis; probability density function

  • On the Design of IT2 TSK FLCs

    This chapter uses the TSK model structure for the design of IT2 FLCs. The approach is based on rigorous mathematical analyses for the design of IT2 FLCs, a development that plays a key role in this systematic design and analyses. TSK enables a mathematical formulation of FLCs that is very suitable for analytical design. The chapter begins by providing the preliminaries for IT2 TSK FLCs. Next, it presents a new inference engine for control design, and stability analyses for IT2 TSK FLCs. Then, the chapter describes a practical approach for the design of adaptive IT2 TSK FLCs for robot manipulators, and discusses the design of adaptive control with applications to robot manipulators. Finally, it presents robust control design.

  • Index

    A comprehensive introduction to the exploding field of data mining We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today's data sets, a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis. Data Mining: Concepts, Models, Methods, and Algorithms discusses data mining principles and then describes representative state-of- the-art methods and algorithms originating from different disciplines such as statistics, machine learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples. This text offers guidance: how and when to use a particular software tool (with their companion data sets) from among the hundreds offered when faced with a data set to mine. This allows analysts to create and perform their own data mining experiments using their knowledge of the methodologies and techniques provided. This book emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning. These critically important, qualitative decisions can only be made with the deeper understanding of parameter meaning and its role in the technique that is offered here. Data mining is an exploding field and this book offers much-needed guidance to selecting among the numerous analysis programs that are available.

  • Artificial Intelligence and Computational Intelligence: A Challenge for Power System Engineers

    Smart grid is an important application area for artificial intelligence (AI) and computational intelligence (CI), as solutions to complex problems in power system engineering and electric energy markets depend on logic reasoning, heuristic search, perception, and the abilities to handle uncertainties. AI is concerned with decision¿¿?making capabilities such as knowledge representation, search methods, inference techniques, heuristic reasoning, and machine learning. CI techniques include expert systems, fuzzy logic, genetic algorithms (GAs), and artificial neural networks (ANNs). CI can further involve adaptive mechanisms for intelligent behaviors in complex environments, such as the ability to adapt, generalize, abstract, discover, and associate. AI and CI have been applied to address the challenges that arise from the increasing complexity and highly nonlinear nature of electric power systems. AI and CI techniques provide effective solutions to the design of nonlinear, adaptive, and optimal controllers for generator excitation systems, High¿¿?Voltage Direct Current (HVDC), and Flexible Alternating Current Transmission System (FACTS) devices.

  • 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



Standards related to Fuzzy Logic

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No standards are currently tagged "Fuzzy Logic"