Data Driven Modelling With Fuzzy Sets

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Data-Driven Modelling with Fuzzy Sets

Author : Said Broumi
Publisher : CRC Press
ISBN 13 : 1040041582
Total Pages : 235 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data-Driven Modelling with Fuzzy Sets by : Said Broumi

Download or read book Data-Driven Modelling with Fuzzy Sets written by Said Broumi and published by CRC Press. This book was released on 2024-07-03 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective, the authors delve into the theories and extensive applications of neutrosophic sets, ranging from neutrosophic graphs to single-valued trapezoidal neutrosophic sets and their practical implications in knowledge management, including student learning assessment, academic performance evaluation, and technical article screening. This comprehensive resource is intended to benefit mathematicians, physicists, computer experts, engineers, scholars, practitioners, and students seeking to deepen their understanding of neutrosophic sets and their practical applications in diverse fields. This book comprises 11 chapters that provide a thorough examination of neutrosophic set theory and its extensions. Each chapter presents valuable insights into various aspects of data-driven modeling with neutrosophic sets and explores their applications in different domains. The book covers a wide range of topics. The specific topics covered in the book include neutrosophic submodules, applications of neutrosophic sets, solutions to differential equations with neutrosophic uncertainty, cardinalities of neutrosophic sets, neutrosophic cylindrical coordinates, applications to graphs and climatic analysis, neutrosophic differential equation approaches to growth models, neutrosophic aggregation operators for decision making, and similarity measures for Fermatean neutrosophic sets. The diverse contributions from experts in the field, coupled with the constructive feedback from reviewers, ensure the book's high quality and relevance. This book presents a qualitative assessment of big data in the education sector using linguistic quadripartitioned single-valued neutrosophic soft sets showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity index covers scientific evaluation of student academic performance using single-valued neutrosophic Markov chain illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment examines estimation of distribution algorithms based on multiple-attribute group decision-making to evaluate teaching quality With its wealth of knowledge, this book aims to inspire further research and innovation in the field of neutrosophic sets and their extensions, providing a valuable resource for scholars, practitioners, and students alike.

Data-Driven Modelling with Fuzzy Sets

Author : Said Broumi
Publisher : CRC Press
ISBN 13 : 1040043062
Total Pages : 348 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data-Driven Modelling with Fuzzy Sets by : Said Broumi

Download or read book Data-Driven Modelling with Fuzzy Sets written by Said Broumi and published by CRC Press. This book was released on 2024-07-17 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as the shortage of precise knowledge or complete information and possibility theory is devoted to the handling of incomplete information. Zadeh articulated the relationship between possibility and probability, noticing that what is probable must preliminarily be possible. Following the Zadeh’s fuzzy set, various generalizations (intuitionistic, neutrosophic, rough, soft sets, etc.) have been introduced enabling a more effective management of all types of the existing in real world uncertainty. This book presents recent theoretical advances and applications of fuzzy sets and their extensions to Science, Humanities and Education. This book: Presents a qualitative assessment of big data in the education sector using linguistic Quadri partitioned single valued neutrosophic soft sets. Showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity Index. Covers scientific evaluation of student academic performance using single value neutrosophic Markov chain. Illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment. Examines estimation of distribution algorithm based on multiple attribute group decision-making to evaluate teaching quality. It is primarily written for Senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

Data-Driven Model-Free Controllers

Author : Radu-Emil Precup
Publisher : CRC Press
ISBN 13 : 1000519589
Total Pages : 402 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data-Driven Model-Free Controllers by : Radu-Emil Precup

Download or read book Data-Driven Model-Free Controllers written by Radu-Emil Precup and published by CRC Press. This book was released on 2021-12-27 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

Author : Shahab Araghinejad
Publisher : Springer Science & Business Media
ISBN 13 : 9400775067
Total Pages : 299 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by : Shahab Araghinejad

Download or read book Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering written by Shahab Araghinejad and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Data-driven Modelling and Prediction of Alloy Steel Properties Using Fuzzy Systems, with Special Emphasis on Type-2 and Quantum Fuzzy Sets

Download Data-driven Modelling and Prediction of Alloy Steel Properties Using Fuzzy Systems, with Special Emphasis on Type-2 and Quantum Fuzzy Sets PDF Online Free

Author : Raymond Muscat
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Data-driven Modelling and Prediction of Alloy Steel Properties Using Fuzzy Systems, with Special Emphasis on Type-2 and Quantum Fuzzy Sets by : Raymond Muscat

Download or read book Data-driven Modelling and Prediction of Alloy Steel Properties Using Fuzzy Systems, with Special Emphasis on Type-2 and Quantum Fuzzy Sets written by Raymond Muscat and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

Author : Hadjileontiadou, Sofia J.
Publisher : IGI Global
ISBN 13 : 1466687061
Total Pages : 542 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Fuzzy Logic-Based Modeling in Collaborative and Blended Learning by : Hadjileontiadou, Sofia J.

Download or read book Fuzzy Logic-Based Modeling in Collaborative and Blended Learning written by Hadjileontiadou, Sofia J. and published by IGI Global. This book was released on 2015-07-31 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has dramatically changed the way in which knowledge is shared within and outside of traditional classroom settings. The application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and modeling in collaborative and blended learning environments, this publication is an essential reference source for educators, researchers, educational administrators and designers, and IT specialists. This premier reference monograph presents key research on educational data analysis and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid modeling, neuro-fuzzy learning management systems, and quality of interaction.

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Author : Edwin Lughofer
Publisher : Springer
ISBN 13 : 3642180876
Total Pages : 467 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by : Edwin Lughofer

Download or read book Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications written by Edwin Lughofer and published by Springer. This book was released on 2011-01-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Interpretability Issues in Fuzzy Modeling

Author : Jorge Casillas
Publisher : Springer
ISBN 13 : 3540370579
Total Pages : 646 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Interpretability Issues in Fuzzy Modeling by : Jorge Casillas

Download or read book Interpretability Issues in Fuzzy Modeling written by Jorge Casillas and published by Springer. This book was released on 2013-06-05 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.

Fuzzy Modelling

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
ISBN 13 : 1461313651
Total Pages : 399 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Fuzzy Modelling by : Witold Pedrycz

Download or read book Fuzzy Modelling written by Witold Pedrycz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Modelling: Paradigms and Practice provides an up-to-date and authoritative compendium of fuzzy models, identification algorithms and applications. Chapters in this book have been written by the leading scholars and researchers in their respective subject areas. Several of these chapters include both theoretical material and applications. The editor of this volume has organized and edited the chapters into a coherent and uniform framework. The objective of this book is to provide researchers and practitioners involved in the development of models for complex systems with an understanding of fuzzy modelling, and an appreciation of what makes these models unique. The chapters are organized into three major parts covering relational models, fuzzy neural networks and rule-based models. The material on relational models includes theory along with a large number of implemented case studies, including some on speech recognition, prediction, and ecological systems. The part on fuzzy neural networks covers some fundamentals, such as neurocomputing, fuzzy neurocomputing, etc., identifies the nature of the relationship that exists between fuzzy systems and neural networks, and includes extensive coverage of their architectures. The last part addresses the main design principles governing the development of rule-based models. Fuzzy Modelling: Paradigms and Practice provides a wealth of specific fuzzy modelling paradigms, algorithms and tools used in systems modelling. Also included is a panoply of case studies from various computer, engineering and science disciplines. This should be a primary reference work for researchers and practitioners developing models of complex systems.

Fuzzy Systems

Author : Hung T. Nguyen
Publisher : Springer Science & Business Media
ISBN 13 : 1461555051
Total Pages : 532 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Systems by : Hung T. Nguyen

Download or read book Fuzzy Systems written by Hung T. Nguyen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.

Soft Computing for Data Analytics, Classification Model, and Control

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 3030920267
Total Pages : 165 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Soft Computing for Data Analytics, Classification Model, and Control by : Deepak Gupta

Download or read book Soft Computing for Data Analytics, Classification Model, and Control written by Deepak Gupta and published by Springer Nature. This book was released on 2022-01-30 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.

Modeling Uncertainty with Fuzzy Logic

Author : Asli Celikyilmaz
Publisher : Springer
ISBN 13 : 3540899243
Total Pages : 443 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Modeling Uncertainty with Fuzzy Logic by : Asli Celikyilmaz

Download or read book Modeling Uncertainty with Fuzzy Logic written by Asli Celikyilmaz and published by Springer. This book was released on 2009-04-01 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.

Practical Hydroinformatics

Author : Robert J. Abrahart
Publisher : Springer Science & Business Media
ISBN 13 : 3540798811
Total Pages : 495 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Practical Hydroinformatics by : Robert J. Abrahart

Download or read book Practical Hydroinformatics written by Robert J. Abrahart and published by Springer Science & Business Media. This book was released on 2008-10-24 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

Data-driven Identification of Key Variables

Author : Bo Yuan
Publisher :
ISBN 13 :
Total Pages : 300 pages
Book Rating : 4.:/5 (368 download)

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Book Synopsis Data-driven Identification of Key Variables by : Bo Yuan

Download or read book Data-driven Identification of Key Variables written by Bo Yuan and published by . This book was released on 1996 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven Model-Free Controllers

Author : Radu-Emil Precup
Publisher : CRC Press
ISBN 13 : 1000519635
Total Pages : 408 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data-Driven Model-Free Controllers by : Radu-Emil Precup

Download or read book Data-Driven Model-Free Controllers written by Radu-Emil Precup and published by CRC Press. This book was released on 2021-12-27 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

Ecohydraulics

Author : Ian Maddock
Publisher : John Wiley & Sons
ISBN 13 : 1118526740
Total Pages : 659 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Ecohydraulics by : Ian Maddock

Download or read book Ecohydraulics written by Ian Maddock and published by John Wiley & Sons. This book was released on 2013-07-01 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecohydraulics: An Integrated Approachprovides a research level text which highlights recent developments of this emerging and expanding field. With a focus on interdisciplinary research the text examines:- the evolution and scope of ecohydraulics interactions between hydraulics, hydrology, fluvial geomorphology and aquatic ecology the application of habitat modelling in ecohydraulic studies state of the art methodological developments and approaches detailed case studies including fish passage design and the management of environmental flow regimes research needs and the future of ecohydraulics research The contributions offer broad geographic coverage to encapsulate the wide range of approaches, case studies and methods used to conduct ecohydraulics research. The book considers a range of spatial and temporal scales of relevance and aquatic organisms ranging from algae and macrophytes to macroinvertebrates and fish. River management and restoration are also considered in detail, making this volume of direct relevance to those concerned with cutting edge research and its application for water resource management. Aimed at academics and postgraduate researchers in departments of physical geography, earth sciences, environmental science, environmental management, civil engineering, biology, zoology, botany and ecology; Ecohydraulics: An Integrated Approach will be of direct relevance to academics, researchers and professionals working in environmental research organisations, national agencies and consultancies.

Knowledge Mining Using Intelligent Agents

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 1908978449
Total Pages : 325 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis Knowledge Mining Using Intelligent Agents by : Satchidananda Dehuri

Download or read book Knowledge Mining Using Intelligent Agents written by Satchidananda Dehuri and published by World Scientific. This book was released on 2010-12-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.).By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.