Modeling And Control Of Uncertain Nonlinear Systems With Fuzzy Equations And Z Number

Modeling And Control Of Uncertain Nonlinear Systems With Fuzzy Equations And Z Number Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Modeling And Control Of Uncertain Nonlinear Systems With Fuzzy Equations And Z Number book. This book definitely worth reading, it is an incredibly well-written.

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Wen Yu,Raheleh Jafari
Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z Number Book PDF

Author : Wen Yu,Raheleh Jafari
Publisher : John Wiley & Sons
Page : 200 pages
File Size : 41,9 Mb
Release : 2019-07-02
Category : Technology & Engineering
ISBN : 9781119491552

Get Book

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number by Wen Yu,Raheleh Jafari Pdf

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book: Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations Includes an overview of uncertain nonlinear systems for non-specialists Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development Reinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.

Flow Modelling and Control in Pipeline Systems

Sina Razvarz,Raheleh Jafari,Alexander Gegov
Flow Modelling and Control in Pipeline Systems Book PDF

Author : Sina Razvarz,Raheleh Jafari,Alexander Gegov
Publisher : Springer Nature
Page : 208 pages
File Size : 55,6 Mb
Release : 2020-10-01
Category : Technology & Engineering
ISBN : 9783030592462

Get Book

Flow Modelling and Control in Pipeline Systems by Sina Razvarz,Raheleh Jafari,Alexander Gegov Pdf

This book introduces novel methods for leak and blockage detection in pipelines. The leak happens as a result of ageing pipelines or extreme pressure forced by operational error or valve rapid variation. Many factors influence blockage formation in pipes like wax deposition that leads to the formation and eventual growth of solid layers and deposition of suspended solid particles in the fluids. In this book, initially, different categories of leak detection are overviewed. Afterwards, the observability and controllability of pipeline systems are analysed. Control variables can be usually presented by pressure and flow rates at the start and end points of the pipe. Different cases are considered based on the selection of control variables to model the system. Several theorems are presented to test the observability and controllability of the system. In this book, the leakage flow in the pipelines is studied numerically to find the relationship between leakage flow and pressure difference. Removing leakage completely is almost impossible; hence, the development of a formal systematic leakage control policy is the most reliable approach to reducing leakage rates.

Advances in Computational Intelligence Systems

Zhaojie Ju,Longzhi Yang,Chenguang Yang,Alexander Gegov,Dalin Zhou
Advances in Computational Intelligence Systems Book PDF

Author : Zhaojie Ju,Longzhi Yang,Chenguang Yang,Alexander Gegov,Dalin Zhou
Publisher : Springer Nature
Page : 556 pages
File Size : 47,6 Mb
Release : 2019-08-29
Category : Technology & Engineering
ISBN : 9783030299330

Get Book

Advances in Computational Intelligence Systems by Zhaojie Ju,Longzhi Yang,Chenguang Yang,Alexander Gegov,Dalin Zhou Pdf

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data- and Model-Driven Applications. All chapters are based on peer-reviewed contributions presented at the 19th Annual UK Workshop on Computational Intelligence, held in Portsmouth, UK, on 4–6 September 2019. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.

Industrial and Robotic Systems

Eusebio E. Hernandez,Sajjad Keshtkar,S. Ivvan Valdez
Industrial and Robotic Systems Book PDF

Author : Eusebio E. Hernandez,Sajjad Keshtkar,S. Ivvan Valdez
Publisher : Springer Nature
Page : 341 pages
File Size : 48,5 Mb
Release : 2020-05-13
Category : Technology & Engineering
ISBN : 9783030454029

Get Book

Industrial and Robotic Systems by Eusebio E. Hernandez,Sajjad Keshtkar,S. Ivvan Valdez Pdf

This volume gathers the latest advances, innovations, and applications in the field of robotics engineering, as presented by leading international researchers and engineers at the Latin American Symposium on Industrial and Robotic Systems (LASIRS), held in Tampico, Mexico on October-November 30-01 2019. The contributions cover all major areas of R&D and innovation in simulation, optimization, and control of robotics, such as design and optimization of robots using numerical and metaheuristic methods, autonomous and control systems, industrial compliance solutions, numerical simulations for manipulators and robots, metaheuristics applied to robotics problems, Industry 4.0, control and automation in petrochemical processes, simulation and control in aerospace and aeronautics, and education in robotics. The conference represented a unique platform to share the latest research and developments in simulation, control and optimization of robotic systems, and to promote cooperation among specialists in machine and mechanism area.

Intelligent Computing

Kohei Arai,Supriya Kapoor,Rahul Bhatia
Intelligent Computing Book PDF

Author : Kohei Arai,Supriya Kapoor,Rahul Bhatia
Publisher : Springer Nature
Page : 728 pages
File Size : 43,6 Mb
Release : 2020-07-03
Category : Technology & Engineering
ISBN : 9783030522469

Get Book

Intelligent Computing by Kohei Arai,Supriya Kapoor,Rahul Bhatia Pdf

This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings. Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area.

Human-Robot Interaction Control Using Reinforcement Learning

Wen Yu,Adolfo Perrusquia
Human Robot Interaction Control Using Reinforcement Learning Book PDF

Author : Wen Yu,Adolfo Perrusquia
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 50,6 Mb
Release : 2021-10-19
Category : Technology & Engineering
ISBN : 9781119782742

Get Book

Human-Robot Interaction Control Using Reinforcement Learning by Wen Yu,Adolfo Perrusquia Pdf

A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics. Readers will also enjoy: A thorough introduction to model-based human-robot interaction control Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning.

Sustainable Manufacturing Systems: An Energy Perspective

Lin Li,MengChu Zhou
Sustainable Manufacturing Systems An Energy Perspective Book PDF

Author : Lin Li,MengChu Zhou
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 53,9 Mb
Release : 2022-12-01
Category : Technology & Engineering
ISBN : 9781119578246

Get Book

Sustainable Manufacturing Systems: An Energy Perspective by Lin Li,MengChu Zhou Pdf

Sustainable Manufacturing Systems Learn more about energy efficiency in traditional and advanced manufacturing settings with this leading and authoritative resource Sustainable Manufacturing Systems: An Energy Perspective delivers a comprehensive analysis of energy efficiency in sustainable manufacturing. The book presents manufacturing modeling methods and energy efficiency evaluation and improvement methods for different manufacturing systems. It allows industry professionals to understand the methodologies and techniques being embraced around the world that lead to advanced energy management. The book offers readers a comprehensive and systematic theoretical foundation for novel manufacturing system modeling, analysis, and control. It concludes with a summary of the insights and applications contained within and a discussion of future research issues that have yet to be grappled with. Sustainable Manufacturing Systems answers the questions that energy customers, managers, decision makers, and researchers have been asking about sustainable manufacturing. The book’s release coincides with recent and profound advances in smart grid applications and will serve as a practical tool to assist industrial engineers in furthering the green revolution. Readers will also benefit from: A thorough introduction to energy efficiency in manufacturing systems, including the current state of research and research methodologies An exploration of the development of manufacturing methodologies, including mathematical modeling for manufacturing systems and energy efficiency characterization in manufacturing systems An analysis of the applications of various methodologies, including electricity demand response for manufacturing systems and energy control and optimization for manufacturing systems utilizing combined heat and power systems A discussion of energy efficiency in advanced manufacturing systems, like stereolithography additive manufacturing and cellulosic biofuel manufacturing systems Perfect for researchers, undergraduate students, and graduate students in engineering disciplines, especially for those majoring in industrial, mechanical, electrical, and environmental engineering, Sustainable Manufacturing Systems will also earn a place in the libraries of management and business students interested in manufacturing system cost performance and energy management.

Infrastructure Robotics

Dikai Liu,Carlos Balaguer,Gamini Dissanayake,Mirko Kovac
Infrastructure Robotics Book PDF

Author : Dikai Liu,Carlos Balaguer,Gamini Dissanayake,Mirko Kovac
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 48,7 Mb
Release : 2023-12-13
Category : Technology & Engineering
ISBN : 9781394162864

Get Book

Infrastructure Robotics by Dikai Liu,Carlos Balaguer,Gamini Dissanayake,Mirko Kovac Pdf

Infrastructure Robotics Illuminating resource presenting commonly used robotic methodologies and technologies, with recent developments and clear application examples across different project types Infrastructure Robotics presents state-of-the-art research in infrastructure robotics and key methodologies that enable the development of intelligent robots for operation in civil infrastructure environments, describing sensing, perception, localization, map building, environmental and operation awareness, motion and task planning, design methodologies, robot assistance paradigms, and physical human-robot collaboration. The text also presents many case studies of robotic systems developed for real-world applications in maintaining various civil infrastructures, including steel bridges, tunnels, underground water mains, underwater structures, and sewer pipes. In addition, later chapters discuss lessons learned in deployment of intelligent robots in practical applications overall. Infrastructure Robotics provides a timely and thorough treatment of the subject pertaining to recent developments, such as computer vision and machine learning techniques that have been used in inspection and condition assessment of critical civil infrastructures, including bridges, tunnels, and more. Written by highly qualified contributors with significant experience in both academia and industry, Infrastructure Robotics covers topics such as: Design methods for application of robots in civil infrastructure inspired by biological systems including ants, inchworms, and humans Fundamental aspects of research on intelligent robotic co-workers for human-robot collaborative operations The ROBO-SPECT European project and a robotized alternative to manual tunnel structural inspection and assessment Wider context for the use of additive manufacturing techniques on construction sites Infrastructure Robotics is an essential resource for researchers, engineers, and graduate students in related fields. Professionals in civil engineering, asset management, and project management who wish to be on the cutting edge of the future of their industries will also benefit from the text.

E-CARGO and Role-Based Collaboration

Haibin Zhu
E CARGO and Role Based Collaboration Book PDF

Author : Haibin Zhu
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 53,8 Mb
Release : 2021-12-02
Category : Technology & Engineering
ISBN : 9781119693062

Get Book

E-CARGO and Role-Based Collaboration by Haibin Zhu Pdf

E-CARGO and Role-Based Collaboration A model for collaboratively solving complex problems E-CARGO and Role-Based Collaboration offers a unique guide that explains the nature of collaboration, explores an easy-to-follow process of collaboration, and defines a model to solve complex problems in collaboration and complex systems. Written by a noted expert on the topic, the book initiates the study of an effective collaborative system from a novel perspective. The role-based collaboration (RBC) methodology investigates the most important aspects of a variety of collaborative systems including societal-technical systems. The models and algorithms can also be applied across system engineering, production, and management. The RBC methodology provides insights into complex systems through the use of its core model E-CARGO. The E-CARGO model provides the fundamental components, principles, relationships, and structures for specifying the state, process, and evolution of complex systems. This important book: Contains a set of concepts, models, and algorithms for the analysis, design, implementation, maintenance, and assessment of a complex system Presents computational methods that use roles as a primary underlying mechanism to facilitate collaborative activities including role assignment Explores the RBC methodology that concentrates on the aspects that can be handled by individuals to establish a well-formed team Offers an authoritative book written by a noted expert on the topic Written for researchers and practitioners dealing with complex problems in collaboration systems and technologies, E-CARGO and Role-Based Collaboration contains a model to solve real world problems with the help of computer-based systems.

Parallel Population and Parallel Human Modelling, Analysis, and Computation

Peijun Ye,Fei-Yue Wang
Parallel Population and Parallel Human Modelling Analysis and Computation Book PDF

Author : Peijun Ye,Fei-Yue Wang
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 44,9 Mb
Release : 2023-07-25
Category : Computers
ISBN : 9781394181896

Get Book

Parallel Population and Parallel Human Modelling, Analysis, and Computation by Peijun Ye,Fei-Yue Wang Pdf

Proposes a new paradigm to investigate an individual’s cognitive deliberation in dynamic human-machine interactions Today, intelligent machines enable people to interact remotely with friends, family, romantic partners, colleagues, competitors, organizations, and others. Virtual reality (VR), augmented reality (AR), artificial intelligence (AI), mobile social media, and other technologies have been driving these interactions to an unprecedented level. As the complexity in system control and management with human participants increases, engineers are facing challenges that arise from the uncertainty of operators or users. Parallel Population and Parallel Human: A Cyber-Physical Social Approach presents systemic solutions for modeling, analysis, computation, and management of individuals’ cognition and decision-making in human-participated systems, such as the MetaVerse. With a virtual-real behavioral approach that seeks to actively prescribe user behavior through cognitive and dynamic learning, the authors present a parallel population/human model for optimal prescriptive control and management of complex systems that leverages recent advances in artificial intelligence. Throughout the book, the authors address basic theory and methodology for modeling, describe various implementation techniques, highlight potential acceleration technologies, discuss application cases from different fields, and more. In addition, the text: Considers how an individual’s behavior is formed and how to prescribe their behavioral modes Describes agent-based computation for complex social systems based on a synthetic population from realistic individual groups Proposes a universal algorithm applicable to a wide range of social organization types Extends traditional cognitive modeling by utilizing a dynamic approach to investigate cognitive deliberation in highly time-variant tasks Presents a new method that can be used for both large-scale social systems and real-time human-machine interactions without extensive experiments for modeling Parallel Population and Parallel Human: A Cyber-Physical Social Approach is a must-read for researchers, engineers, scientists, professionals, and graduate students who work on systems engineering, human-machine interaction, cognitive computing, and artificial intelligence.

Advances in Computational Intelligence Systems

Ahmad Lotfi,Hamid Bouchachia,Alexander Gegov,Caroline Langensiepen,Martin McGinnity
Advances in Computational Intelligence Systems Book PDF

Author : Ahmad Lotfi,Hamid Bouchachia,Alexander Gegov,Caroline Langensiepen,Martin McGinnity
Publisher : Springer
Page : 394 pages
File Size : 55,8 Mb
Release : 2018-08-10
Category : Technology & Engineering
ISBN : 9783319979823

Get Book

Advances in Computational Intelligence Systems by Ahmad Lotfi,Hamid Bouchachia,Alexander Gegov,Caroline Langensiepen,Martin McGinnity Pdf

This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Encyclopedia of Information Science and Technology, Fifth Edition

Khosrow-Pour D.B.A., Mehdi
Encyclopedia of Information Science and Technology Fifth Edition Book PDF

Author : Khosrow-Pour D.B.A., Mehdi
Publisher : IGI Global
Page : 1966 pages
File Size : 50,7 Mb
Release : 2020-07-24
Category : Computers
ISBN : 9781799834809

Get Book

Encyclopedia of Information Science and Technology, Fifth Edition by Khosrow-Pour D.B.A., Mehdi Pdf

The rise of intelligence and computation within technology has created an eruption of potential applications in numerous professional industries. Techniques such as data analysis, cloud computing, machine learning, and others have altered the traditional processes of various disciplines including healthcare, economics, transportation, and politics. Information technology in today’s world is beginning to uncover opportunities for experts in these fields that they are not yet aware of. The exposure of specific instances in which these devices are being implemented will assist other specialists in how to successfully utilize these transformative tools with the appropriate amount of discretion, safety, and awareness. Considering the level of diverse uses and practices throughout the globe, the fifth edition of the Encyclopedia of Information Science and Technology series continues the enduring legacy set forth by its predecessors as a premier reference that contributes the most cutting-edge concepts and methodologies to the research community. The Encyclopedia of Information Science and Technology, Fifth Edition is a three-volume set that includes 136 original and previously unpublished research chapters that present multidisciplinary research and expert insights into new methods and processes for understanding modern technological tools and their applications as well as emerging theories and ethical controversies surrounding the field of information science. Highlighting a wide range of topics such as natural language processing, decision support systems, and electronic government, this book offers strategies for implementing smart devices and analytics into various professional disciplines. The techniques discussed in this publication are ideal for IT professionals, developers, computer scientists, practitioners, managers, policymakers, engineers, data analysts, and programmers seeking to understand the latest developments within this field and who are looking to apply new tools and policies in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to software engineering, cybersecurity, information technology, media and communications, urban planning, computer science, healthcare, economics, environmental science, data management, and political science will benefit from the extensive knowledge compiled within this publication.

Advanced Fuzzy Logic Approaches in Engineering Science

Ram, Mangey
Advanced Fuzzy Logic Approaches in Engineering Science Book PDF

Author : Ram, Mangey
Publisher : IGI Global
Page : 488 pages
File Size : 42,5 Mb
Release : 2018-09-14
Category : Technology & Engineering
ISBN : 9781522557104

Get Book

Advanced Fuzzy Logic Approaches in Engineering Science by Ram, Mangey Pdf

Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Intelligent Systems and Applications

Yaxin Bi,Rahul Bhatia,Supriya Kapoor
Intelligent Systems and Applications Book PDF

Author : Yaxin Bi,Rahul Bhatia,Supriya Kapoor
Publisher : Springer Nature
Page : 1302 pages
File Size : 47,9 Mb
Release : 2019-08-23
Category : Technology & Engineering
ISBN : 9783030295165

Get Book

Intelligent Systems and Applications by Yaxin Bi,Rahul Bhatia,Supriya Kapoor Pdf

The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends. This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.

Intelligent Systems and Applications

Kohei Arai,Supriya Kapoor,Rahul Bhatia
Intelligent Systems and Applications Book PDF

Author : Kohei Arai,Supriya Kapoor,Rahul Bhatia
Publisher : Springer
Page : 1292 pages
File Size : 45,5 Mb
Release : 2018-11-07
Category : Technology & Engineering
ISBN : 9783030010577

Get Book

Intelligent Systems and Applications by Kohei Arai,Supriya Kapoor,Rahul Bhatia Pdf

Gathering the Proceedings of the 2018 Intelligent Systems Conference (IntelliSys 2018), this book offers a remarkable collection of chapters covering a wide range of topics in intelligent systems and computing, and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process, after which 194 (including 13 poster papers) were selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle many problems more effectively. This branching out of computational intelligence in several directions, and the use of intelligent systems in everyday applications, have created the need for such an international conference, which serves as a venue for reporting on cutting-edge innovations and developments. This book collects both theory and application-based chapters on all aspects of artificial intelligence, from classical to intelligent scope. Readers are sure to find the book both interesting and valuable, as it presents state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision of future research directions.