Fuzzy Networks For Complex Systems

Download Fuzzy Networks For Complex Systems full books in PDF, epub, and Kindle. Read online Fuzzy Networks For Complex Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Fuzzy Networks for Complex Systems

Author : Alexander Gegov
Publisher : Springer Science & Business Media
ISBN 13 : 3642155995
Total Pages : 298 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Networks for Complex Systems by : Alexander Gegov

Download or read book Fuzzy Networks for Complex Systems written by Alexander Gegov and published by Springer Science & Business Media. This book was released on 2010-10-04 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the novel concept of a fuzzy network whose nodes are rule bases and the connections between the nodes are the interactions between the rule bases in the form of outputs fed as inputs. The concept is presented as a systematic study for improving the feasibility and transparency of fuzzy models by means of modular rule bases whereby the model accuracy and efficiency can be optimised in a flexible way. The study uses an effective approach for fuzzy rule based modelling of complex systems that are characterised by attributes such as nonlinearity, uncertainty, dimensionality and structure.The approach is illustrated by formal models for fuzzy networks, basic and advanced operations on network nodes, properties of operations, feedforward and feedback fuzzy networks as well as evaluation of fuzzy networks. The results are demonstrated by numerous examples, two case studies and software programmes within the Matlab environment that implement some of the theoretical methods from the book. The book shows the novel concept of a fuzzy network with networked rule bases as a bridge between the existing concepts of a standard fuzzy system with a single rule base and a hierarchical fuzzy system with multiple rule bases.

Fuzzy Logic For The Applications To Complex Systems: Proceedings Of The International Joint Conference Of

Author : Weiling Chiang
Publisher : World Scientific
ISBN 13 : 9814548375
Total Pages : 594 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic For The Applications To Complex Systems: Proceedings Of The International Joint Conference Of by : Weiling Chiang

Download or read book Fuzzy Logic For The Applications To Complex Systems: Proceedings Of The International Joint Conference Of written by Weiling Chiang and published by World Scientific. This book was released on 1995-11-16 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an interesting mix of topics on complex systems such as information systems, engineering systems, fuzzy neural systems, image processing, robotics, fuzzy control, genetic algorithms, and fuzzy decision making. The contributions come from 12 countries, and provide a clear picture of fuzzy logic applications worldwide.

Learning and Soft Computing

Author : Vojislav Kecman
Publisher : MIT Press
ISBN 13 : 9780262112550
Total Pages : 556 pages
Book Rating : 4.1/5 (125 download)

DOWNLOAD NOW!

Book Synopsis Learning and Soft Computing by : Vojislav Kecman

Download or read book Learning and Soft Computing written by Vojislav Kecman and published by MIT Press. This book was released on 2001 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Fuzzy Logic and Soft Computing

Author : Bernadette Bouchon-Meunier
Publisher : World Scientific
ISBN 13 : 9814500089
Total Pages : 508 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic and Soft Computing by : Bernadette Bouchon-Meunier

Download or read book Fuzzy Logic and Soft Computing written by Bernadette Bouchon-Meunier and published by World Scientific. This book was released on 1995-09-15 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field. Contents:Fuzzy Logic and Genetic AlgorithmsLearningFuzzy and Hybrid SystemsDecision and Aggregation TechniquesFuzzy Logic in DatabasesFoundations of Fuzzy LogicApplications of Fuzzy Sets Readership: Researchers and computer scientists. keywords:

Fuzzy Logic for Business, Finance, and Management

Author : George Bojadziev
Publisher : World Scientific
ISBN 13 : 9812770623
Total Pages : 253 pages
Book Rating : 4.8/5 (127 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic for Business, Finance, and Management by : George Bojadziev

Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Fuzzy Logic and Expert Systems Applications

Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080553192
Total Pages : 437 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic and Expert Systems Applications by : Cornelius T. Leondes

Download or read book Fuzzy Logic and Expert Systems Applications written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies. Fuzzy system techniques applied to neural networks for modeling and control Systematic design procedures for realizing fuzzy neural systems Techniques for the design of rule-based expert systems Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets System identification and control Nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

Fuzzy Systems Theory and Its Applications

Author : Toshirō Terano
Publisher : Elsevier
ISBN 13 : 9780126852455
Total Pages : 268 pages
Book Rating : 4.8/5 (524 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Systems Theory and Its Applications by : Toshirō Terano

Download or read book Fuzzy Systems Theory and Its Applications written by Toshirō Terano and published by Elsevier. This book was released on 1992 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Methodologies -- Pattern Recognition.

Fuzzy Cognitive Maps

Author : Michael Glykas
Publisher : Springer
ISBN 13 : 3642032206
Total Pages : 200 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Cognitive Maps by : Michael Glykas

Download or read book Fuzzy Cognitive Maps written by Michael Glykas and published by Springer. This book was released on 2010-09-07 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications—and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics can in many cases let the user encode and decode concept patterns as fixed-point attractors or limit cycles or perhaps as more exotic dynamical equilibria. These global equilibrium patterns are often “hidden” in the nonlinear dynamics. The user will not likely see these global patterns by simply inspecting the local causal edges or nodes of large FCMs.

Hypernetworks in the Science of Complex Systems

Author : Jeffrey Johnson
Publisher : World Scientific
ISBN 13 : 1783264438
Total Pages : 348 pages
Book Rating : 4.7/5 (832 download)

DOWNLOAD NOW!

Book Synopsis Hypernetworks in the Science of Complex Systems by : Jeffrey Johnson

Download or read book Hypernetworks in the Science of Complex Systems written by Jeffrey Johnson and published by World Scientific. This book was released on 2013-11-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This volume makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application. Contents:IntroductionSets and RelationsHypergraphs and the Galois LatticeSimplicial Complexes and Q-AnalysisBackcloth and Traffic: Dynamics Constrained by TopologyHypernetworksMultilevel SystemsTime, Events, Prediction and ForecastingHypernetworks and DesignPolicy, Design, Planning and ScienceNotes and Reflections Readership: Academics: researchers, scientists, social scientists, complex systems scientists, economists, biologists; Industry: managers, planners, consultants, knowledge professionals, systems engineers, automation specialists, supply chain managers; Public services: Council Officers, city planners, transport planners, health professionals, welfare professionals. Key Features:A first book of its kind on 'hypernetworks', a term the author has coined to describe the mathematical structures he has worked on over the last 30 yearsIntroduces hypernetworks in the context of examples drawn from a wide range of fields, including design, planning, management, art, neural network, machine vision, robotics, traffic, road accidents, amongst othersThe emphasis of this volume is on useful and added-value applications. It will develop the necessary mathematics and assuming no pre-requisitesContains a myriad of illustrations to further understand the topics discussedReviews: “The mathematics is explicitly explained and no difficult theorems are included in this book in order to enable scientists, designers and policy makers to work together.” Zentralblatt MATH

Policy Decision Modeling with Fuzzy Logic

Author : Ali Guidara
Publisher : Springer Nature
ISBN 13 : 3030626288
Total Pages : 140 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Policy Decision Modeling with Fuzzy Logic by : Ali Guidara

Download or read book Policy Decision Modeling with Fuzzy Logic written by Ali Guidara and published by Springer Nature. This book was released on 2020-12-18 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods. The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers. This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.

Smart Engineering System Design

Author : Cihan H. Dagli
Publisher : American Society of Mechanical Engineers
ISBN 13 :
Total Pages : 950 pages
Book Rating : 4.E/5 ( download)

DOWNLOAD NOW!

Book Synopsis Smart Engineering System Design by : Cihan H. Dagli

Download or read book Smart Engineering System Design written by Cihan H. Dagli and published by American Society of Mechanical Engineers. This book was released on 2005 with total page 950 pages. Available in PDF, EPUB and Kindle. Book excerpt: The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; Pattern Recognition; Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.

Dependability Engineering and Complex Systems

Author : Wojciech Zamojski
Publisher : Springer
ISBN 13 : 3319396390
Total Pages : 606 pages
Book Rating : 4.3/5 (193 download)

DOWNLOAD NOW!

Book Synopsis Dependability Engineering and Complex Systems by : Wojciech Zamojski

Download or read book Dependability Engineering and Complex Systems written by Wojciech Zamojski and published by Springer. This book was released on 2016-06-17 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings present the results of the Eleventh International Conference on Dependability and Complex Systems DepCoS-RELCOMEX which took place in a picturesque Brunów Palace in Poland from 27th June to 1st July, 2016. DepCoS-RELCOMEX is a series of international conferences organized annually by Department of Computer Engineering of Wrocław University of Science and Technology since 2006. The roots of the series go as far back as to the seventies of the previous century – the first RELCOMEX conference took place in 1977 – and now its main aim is to promote a multi-disciplinary approach to dependability problems in theory and engineering practice of complex systems. Complex systems, nowadays most often computer-based and distributed, are built upon a variety of technical, information, software and human resources. The challenges in their design, analysis and maintenance not only originate from the involved technical and organizational structures but also from the complexity of the information processes that must be efficiently executed in a diverse, often hostile operational environment. Traditional methods of reliability evaluation focused only on technical resources are usually insufficient in this context and more innovative, multidisciplinary methods of dependability analysis must be applied. The diversity of the topics which need to be considered is well illustrated by the selection of the submissions in these proceedings with their subjects ranging from mathematical models and design methodologies through software engineering and data security issues up to practical problems in technical, e.g. transportation, systems.

Advanced Fuzzy Systems Design and Applications

Author : Yaochu Jin
Publisher : Physica
ISBN 13 : 3790817716
Total Pages : 276 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Advanced Fuzzy Systems Design and Applications by : Yaochu Jin

Download or read book Advanced Fuzzy Systems Design and Applications written by Yaochu Jin and published by Physica. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

Complex Systems and Networks

Author : Jinhu Lü
Publisher : Springer
ISBN 13 : 3662478242
Total Pages : 482 pages
Book Rating : 4.6/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Complex Systems and Networks by : Jinhu Lü

Download or read book Complex Systems and Networks written by Jinhu Lü and published by Springer. This book was released on 2015-08-14 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

Fuzzy Modelling

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

DOWNLOAD NOW!

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.

Smart Engineering System Design

Author :
Publisher :
ISBN 13 :
Total Pages : 981 pages
Book Rating : 4.:/5 (755 download)

DOWNLOAD NOW!

Book Synopsis Smart Engineering System Design by :

Download or read book Smart Engineering System Design written by and published by . This book was released on 2004 with total page 981 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Social-Behavioral Modeling for Complex Systems

Author : Paul K. Davis
Publisher : John Wiley & Sons
ISBN 13 : 1119484987
Total Pages : 992 pages
Book Rating : 4.1/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Social-Behavioral Modeling for Complex Systems by : Paul K. Davis

Download or read book Social-Behavioral Modeling for Complex Systems written by Paul K. Davis and published by John Wiley & Sons. This book was released on 2019-03-13 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems