Between Mind And Computer Fuzzy Science And Engineering

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Between Mind and Computer: Fuzzy Science and Engineering

P-Z Wang,K-F Loe
Between Mind and Computer Fuzzy Science and Engineering Book PDF

Author : P-Z Wang,K-F Loe
Publisher : World Scientific
Page : 404 pages
File Size : 45,9 Mb
Release : 1994-01-24
Category : Computers
ISBN : 9789814602297

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Between Mind and Computer: Fuzzy Science and Engineering by P-Z Wang,K-F Loe Pdf

The “Fuzzy Explosion” emanating from Japan has compelled more people than ever to ponder the meaning and potential of fuzzy engineering. Scientists all over are now beginning to harness the power of fuzzy recognition and decision-making — reminescent of the way the human mind works — in computer applications. In this book a blue-ribbon list of contributors discusses the latest developments in topics such as possibility logic programming, truth-valued flow inference, fuzzy neural-logic networks and default knowledge representation. This volume is the first in a series aiming to document advances in fuzzy set theory and its applications. Contents:Foreword (L Zadeh)Preface (P-Z Wang & K-F Loe)Hypothetical Reasoning in Possibilistic Logic: Basic Notions, Applications and Implementation Issues (S Benferhat et al.)An Automatic Start-Up and Shut-Down Control of a Drum-Type Boiler Using Fuzzy Logic (Z Bien et al.)Applicability of the Fuzzy Controller (J J Buckley)Fuzzy Representation and Inference Methods (I B Turksen)Fuzzy Neural-Logic Networks (S C Chan et al.)I-Fuzzy Structure: The World of Strictly Monotonous Norms (L T Kóczy)Fuzzy Decision Making: A Survey (P-T Chang & E S Lee)Fuzzy Topology Stratifications and Category Theory (Y-M Liu)Foundations of Fuzzy Logic Programming (M Mukaidono & H Kikuchi)Optimization of Fuzzy Models for System Analysis, Pattern Recognition and Knowledge Engineering (W Pedrycz)Non Standard Fuzzy Arithmetic (E Sanchez)Fuzzy Random Dynamic Systems (G-Y Wang & J-P Ou)Truth Valued Flow Inference and Its Mathematical Theory (P-Z Wang & H-M Zhang)Default Knowledge Representation in the Theory of Approximate Reasoning: An Implementation (H Scarpelli et al.). Readership: Computer scientists. Keywords:Fuzzy Science;Fuzzy Engineering;Knowledge Representation;Fuzzy Representation;Fuzzy Neural Networks;Fuzzy Control;Fuzzy Structure;Fuzzy Decision Making;Fuzzy Logic Programming;Fuzzy Modeling;Hypothetical Reasoning;Truth-Valued Inference;Fuzzy Random Dynamic Systems;Fuzzy Topology;Possibilistic LogicReviews: “Between Mind and Computers presents a wealth of information about fuzzy logic and its applications. In my view, it is a must-read for everyone who is interested in developing a thorough understanding of the theory and an up-to-date familiarity with its applications.” Foreword by Lotfi A Zadeh University of California, Berkeley

Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective

Dodig-crnkovic Gordana,Burgin Mark
Philosophy And Methodology Of Information The Study Of Information In The Transdisciplinary Perspective Book PDF

Author : Dodig-crnkovic Gordana,Burgin Mark
Publisher : World Scientific
Page : 576 pages
File Size : 50,5 Mb
Release : 2019-04-24
Category : Computers
ISBN : 9789813277533

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Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective by Dodig-crnkovic Gordana,Burgin Mark Pdf

The book gives up-to-date, multi-aspect exposition of the philosophy and methodology of information, and related areas within the nascent field of the study of information. It presents the most recent achievements, ideas and opinions of leading researchers in this domain, as well as from physicists, biologists and social scientists. Collaboration of researchers from different areas and fields opens new perspectives for the understanding of information essential in the innovative development of science, technology and society.The book is meant for readers conducting research into any aspect of information, information society and information technology. The ideas presented give new insights for those who develop or implement scientific, technological or social applications. They are especially for those who are participating in setting the goals for science in general and sciences of information in particular.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

W. Sandham,M. Leggett
Geophysical Applications of Artificial Neural Networks and Fuzzy Logic Book PDF

Author : W. Sandham,M. Leggett
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 47,5 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9789401702713

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Geophysical Applications of Artificial Neural Networks and Fuzzy Logic by W. Sandham,M. Leggett Pdf

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Genetic Algorithms and Fuzzy Logic Systems

Elie Sanchez,Takanori Shibata,Lotfi Asker Zadeh
Genetic Algorithms and Fuzzy Logic Systems Book PDF

Author : Elie Sanchez,Takanori Shibata,Lotfi Asker Zadeh
Publisher : World Scientific
Page : 254 pages
File Size : 51,6 Mb
Release : 1997
Category : Computers
ISBN : 9810224230

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Genetic Algorithms and Fuzzy Logic Systems by Elie Sanchez,Takanori Shibata,Lotfi Asker Zadeh Pdf

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.

Computational Intelligence in Software Engineering

Witold Pedrycz,James F. Peters
Computational Intelligence in Software Engineering Book PDF

Author : Witold Pedrycz,James F. Peters
Publisher : World Scientific
Page : 504 pages
File Size : 47,9 Mb
Release : 1998
Category : Computers
ISBN : 9810235038

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Computational Intelligence in Software Engineering by Witold Pedrycz,James F. Peters Pdf

This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts? With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.

Fuzzy Logic

Vladimir Dimitrov,Victor Korotkich
Fuzzy Logic Book PDF

Author : Vladimir Dimitrov,Victor Korotkich
Publisher : Physica
Page : 397 pages
File Size : 46,8 Mb
Release : 2013-12-06
Category : Mathematics
ISBN : 9783790818062

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Fuzzy Logic by Vladimir Dimitrov,Victor Korotkich Pdf

At the beginning of the new millennium, fuzzy logic opens a new challenging perspective in information processing. This perspective emerges out of the ideas of the founder of fuzzy logic - Lotfi Zadeh, to develop 'soft' tools for direct computing with human perceptions. The enigmatic nature of human perceptions manifests in their unique capacity to generalize, extract patterns and capture both the essence and the integrity of the events and phenomena in human life. This capacity goes together with an intrinsic imprecision of the perception-based information. According to Zadeh, it is because of the imprecision of the human imprecision that they do not lend themselves to meaning representation through the use of precise methods based on predicate logic. This is the principal reason why existing scientific theories do not have the capability to operate on perception-based information. We are at the eve of the emergence of a theory with such a capability. Its applicative effectiveness has been already demonstrated through the industrial implementation of the soft computing - a powerful intelligent technology centred in fuzzy logic. At the focus of the papers included in this book is the knowledge and experience of the researchers in relation both to the engineering applications of soft computing and to its social and philosophical implications at the dawn of the third millennium. The papers clearly demonstrate that Fuzzy Logic revolutionizes general approaches for solving applied problems and reveals deep connections between them and their solutions.

Hybrid Intelligent Engineering Systems

L. C. Jain,R. K. Jain
Hybrid Intelligent Engineering Systems Book PDF

Author : L. C. Jain,R. K. Jain
Publisher : World Scientific
Page : 204 pages
File Size : 52,6 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 9810228899

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Hybrid Intelligent Engineering Systems by L. C. Jain,R. K. Jain Pdf

This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering. It shows that these new techniques enhance the capabilities of one another. A number of hybrid systems for solving engineering problems are presented.

The Theory of Problem-Solution Dualities and Polarities

Kofi Kissi Dompere
The Theory of Problem Solution Dualities and Polarities Book PDF

Author : Kofi Kissi Dompere
Publisher : Springer Nature
Page : 333 pages
File Size : 47,6 Mb
Release : 2022-04-25
Category : Technology & Engineering
ISBN : 9783030902797

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The Theory of Problem-Solution Dualities and Polarities by Kofi Kissi Dompere Pdf

This book is concerned with the development of the understanding of the relational structures of information, knowledge, decision–choice processes of problems and solutions in the theory and practice regarding diversity and unity principles of knowing, science, non-science, and information–knowledge systems through dualistic-polar conditions of variety existence and nonexistence. It is a continuation of the sequence of my epistemic works on the theories on fuzzy rationality, info-statics, info-dynamics, entropy, and their relational connectivity to information, language, knowing, knowledge, cognitive practices relative to variety identification–problem–solution dualities, variety transformation–problem–solution dualities, and variety certainty–uncertainty principle in all areas of knowing and human actions regarding general social transformations. It is also an economic–theoretic approach in understanding the diversity and unity of knowing and science through neuro-decision–choice actions over the space of problem–solution dualities and polarities. The problem–solution dualities are argued to connect all areas of knowing including science and non-science, social science, and non-social-science into unity with diversities under neuro-decision–choice actions to support human existence and nonexistence over the space of static–dynamic dualities. The concepts of diversity and unity are defined and explicated to connect to the tactics and strategies of decision–choice actions over the space of problem–solution dualities. The concepts of problem and solution are defined and explicated not in the space of absoluteness but rather in the space of relativity based on real cost–benefit conditions which are shown to be connected to the general parent–offspring infinite process, where every solution generates new problem(s) which then generates a search for new solutions within the space of minimum–maximum dualities in the decision–choice space under the principle of non-satiation over the space of preference–non-preference dualities with analytical tools drawn from the fuzzy paradigm of thought which connects the conditions of the principle of opposites to the conditions of neuro-decision–choice actions in the zone of variety identifications and transformations. The Monograph would be useful to all areas of Research, Learning and Teaching at Advanced Stages of Knowing and Knowledge Production.

Fuzzy Logic and Mathematics

Radim Belohlavek,Joseph W. Dauben,George J. Klir
Fuzzy Logic and Mathematics Book PDF

Author : Radim Belohlavek,Joseph W. Dauben,George J. Klir
Publisher : Oxford University Press
Page : 480 pages
File Size : 43,6 Mb
Release : 2017-05-03
Category : Philosophy
ISBN : 9780190200022

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Fuzzy Logic and Mathematics by Radim Belohlavek,Joseph W. Dauben,George J. Klir Pdf

The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy logic, these classical truth values are not abandoned. However, additional, intermediate truth values between true and false are allowed, which are interpreted as degrees of truth. This opens a new way of thinking---thinking in terms of degrees rather than absolutes. For example, it leads to the definition of a new kind of sets, referred to as fuzzy sets, in which membership is a matter of degree. The book examines the genesis and development of fuzzy logic. It surveys the prehistory of fuzzy logic and inspects circumstances that eventually lead to the emergence of fuzzy logic. The book explores in detail the development of propositional, predicate, and other calculi that admit degrees of truth, which are known as fuzzy logic in the narrow sense. Fuzzy logic in the broad sense, whose primary aim is to utilize degrees of truth for emulating common-sense human reasoning in natural language, is scrutinized as well. The book also examines principles for developing mathematics based on fuzzy logic and provides overviews of areas in which this has been done most effectively. It also presents a detailed survey of established and prospective applications of fuzzy logic in various areas of human affairs, and provides an assessment of the significance of fuzzy logic as a new paradigm.

A General Theory of Entropy

Kofi Kissi Dompere
A General Theory of Entropy Book PDF

Author : Kofi Kissi Dompere
Publisher : Springer
Page : 247 pages
File Size : 41,7 Mb
Release : 2019-08-02
Category : Technology & Engineering
ISBN : 9783030181598

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A General Theory of Entropy by Kofi Kissi Dompere Pdf

This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.

Fuzzy Logic

Marek J. Patyra,Daniel J. Mlynek
Fuzzy Logic Book PDF

Author : Marek J. Patyra,Daniel J. Mlynek
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783322889553

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Fuzzy Logic by Marek J. Patyra,Daniel J. Mlynek Pdf

This edited volume contains ten papers on the subject of fuzzy technology. Fuzzy technology emerged as a combination of fuzzy sets theory, fuzzy logic and fuzzy-based reasoning. As a technology it gained a very practical meaning through thousands of applications in different theoretical as well as practical disciplines, covering mathematics, physics, chemistry, biology, life science, social science, economy, computer science, and (foremost) electrical, electronic, mechanical, nuclear, chemical, textile, aeronautic, ocean, and many other engineering disciplines. The goal of this book is to create an interest in fuzzy technology among researchers, engineers, professionals and students involved in the research and development in the broad area of artificial intelligence. This book is also intended to bring the reader up-to-date in the area of implementations and applications of fuzzy technology, as well as to generate and stimulate new research ideas in this area. It may inspire and motivate the researcher in new directions, as well as creating a force for new efforts to make a fuzzy technology commonly known and used in science and engineering. This volume appears at a time of unprecedented research interest in the field of fuzzy technology. I intentionally wrote research due to the events that have occurred during the last couple of years. To be more specific, I should describe this interest geographically.

Fuzzy Logic in Artificial Intelligence

Anca L. Ralescu,James G. Shanahan
Fuzzy Logic in Artificial Intelligence Book PDF

Author : Anca L. Ralescu,James G. Shanahan
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 54,5 Mb
Release : 1999-07-28
Category : Computers
ISBN : 3540663746

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Fuzzy Logic in Artificial Intelligence by Anca L. Ralescu,James G. Shanahan Pdf

This volume constitutes the thoroughly refereed post-workshop proceedings of an international workshop on fuzzy logic in Artificial Intelligence held in Negoya, Japan during IJCAI '97. The 17 revised full papers presented have gone through two rounds of reviewing and revision. Three papers by leading authorities in the area are devoted to the general relevance of fuzzy logic and fuzzy sets to AI. The remaining papers address various relevant issues ranging from theory to application in areas like knowledge representation, induction, logic programming, robotics, pattern recognition, etc.

Fuzzy Topology

Liu Ying-Ming,Luo Mao-Kang
Fuzzy Topology Book PDF

Author : Liu Ying-Ming,Luo Mao-Kang
Publisher : World Scientific
Page : 364 pages
File Size : 49,8 Mb
Release : 1998-02-28
Category : Computers
ISBN : 9789814518208

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Fuzzy Topology by Liu Ying-Ming,Luo Mao-Kang Pdf

Fuzzy set theory provides us with a framework which is wider than that of classical set theory. Various mathematical structures, whose features emphasize the effects of ordered structure, can be developed on the theory. Fuzzy topology is one such branch, combining ordered structure with topological structure. This branch of mathematics, emerged from the background — processing fuzziness, and locale theory, proposed from the angle of pure mathematics by the great French mathematician Ehresmann, comprise the two most active aspects of topology on lattice, which affect each other. This book is the first monograph to systematically reflect the up-to-date state of fuzzy topology. It emphasizes the so-called “pointed approach” and the effects of stratification structure appearing in fuzzy sets. The monograph can serve as a reference book for mathematicians, researchers, and graduate students working in this branch of mathematics. After an appropriate rearrangements of the chapters and sections, it can also be used as a text for undergraduates. Contents:Fuzzy Topological SpacesOperations on Fuzzy Topological SpacesL-Valued Stratification SpacesConvergence TheoryConnectednessSome Properties Related to CardinalsSeparation (I)Separation (II)CompactnessCompactificationParacompactnessUniformity and ProximityMetric SpacesRelations Between Fuzzy Topological Spaces and Locales Readership: Senior undergraduates, graduate students, and researchers in mathematics and computer science. keywords:Fuzzy;Topology;Fuzzy Lattice;Lattice-valued Topology;Multiple Choice Principle;Coincident Neighborhood Structure;Level Structure;Pointlike Structure;Ordered Structure;Locale “This will be a very useful reference book for everyone working in this field.” Mathematical Reviews

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

Chi-Bin Cheng,Hsu-Shih Shih,E. Stanley Lee
Fuzzy and Multi Level Decision Making Soft Computing Approaches Book PDF

Author : Chi-Bin Cheng,Hsu-Shih Shih,E. Stanley Lee
Publisher : Springer
Page : 219 pages
File Size : 48,7 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783319925257

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Fuzzy and Multi-Level Decision Making: Soft Computing Approaches by Chi-Bin Cheng,Hsu-Shih Shih,E. Stanley Lee Pdf

This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.

Fuzzy and Uncertain Object-oriented Databases

Rita de Caluwe
Fuzzy and Uncertain Object oriented Databases Book PDF

Author : Rita de Caluwe
Publisher : World Scientific
Page : 226 pages
File Size : 55,7 Mb
Release : 1997
Category : Computers
ISBN : 9810228937

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Fuzzy and Uncertain Object-oriented Databases by Rita de Caluwe Pdf

Enriching database models to allow the user to deal with fuzzy and uncertain information has been of scientists' concern for years. This book presents the latest research results in dealing with fuzziness and uncertainty in object-oriented databases. The readership will be researchers and engineers interested in databases and software engineering programming.