Between Mind And Computer Fuzzy Science And Engineering

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Between Mind and Computer: Fuzzy Science and Engineering

Author : P-Z Wang
Publisher : World Scientific
ISBN 13 : 9814602299
Total Pages : 404 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Between Mind and Computer: Fuzzy Science and Engineering by : P-Z Wang

Download or read book Between Mind and Computer: Fuzzy Science and Engineering written by P-Z Wang and published by World Scientific. This book was released on 1994-01-24 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Author : W. Sandham
Publisher : Springer Science & Business Media
ISBN 13 : 9401702713
Total Pages : 336 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Geophysical Applications of Artificial Neural Networks and Fuzzy Logic by : W. Sandham

Download or read book Geophysical Applications of Artificial Neural Networks and Fuzzy Logic written by W. Sandham and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Elie Sanchez
Publisher : World Scientific
ISBN 13 : 9814499803
Total Pages : 252 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Genetic Algorithms and Fuzzy Logic Systems by : Elie Sanchez

Download or read book Genetic Algorithms and Fuzzy Logic Systems written by Elie Sanchez and published by World Scientific. This book was released on 1997-03-15 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents:Foreword (L Davies)Preface (E Sanchez, T Shibata & L A Zadeh)Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms (C Philips, C L Karr & G W Walker)Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator (T Shibata)A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm (T Hashiyama, T Furuhashi & Y Uchikawa)Automatic Fuzzy Tuning and Its Applications (H Ishigami, T Fukuda, T Shibata)An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor (R Poluzzi, G G Rizzotto & A G B Tettamanzi)On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation (H Bersini)Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms (C-T Sun & J-S Jang)Intelligent Systems for Fraud Detection (J Kingdon)Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback (D H Kraft, F E Petry, B P Buckles & T Sadasivan)Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search (K Nishio, M Murakami, E Mizutani & N Honda)An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain (H S Lopes, M S Coutinho & W C de Lima)A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989–1995 (O Cordón, F Herrera & M Lozano) Readership: Mechanical, systems & knowledge, and control engineers; computer scientists in databases; and researchers in genetic algorithms, fuzzy logic systems, soft computing, artificial intelligence, neural networks, fuzzy logic control, robotics, classification, banking, information retrieval, and medicine. keywords:Genetic Algorithms;Evolutionary Algorithms;Fuzzy Logic Systems;Fuzzy Logic Control;Learning;Fuzzy-Neural Networks;Learning;Soft Computing “This volume displays the power of evolutionary algorithms when combined with fuzzy logic. These are exciting times in the fields of fuzzy logic and evolutionary algorithms, and this book will add to the excitement, because it is the first volume to focus on the growing connections between the fields of evolutionary algorithms and fuzzy logic … This book will be a valuable aid to anyone considering the application of fuzzy logic and evolutionary algorithms to real problems, because it contains a number of detailed accounts of such applications written by authors in several countries. By making these accounts available in one place, the editors of this book have made it much easier for us to benefit from the authors' experience, and have done us a great service.” From the foreword by Lawrence Davies President of Tica Associates and editor of Handbook of Genetic Algorithms

Computational Intelligence in Software Engineering

Author : Witold Pedrycz
Publisher : World Scientific
ISBN 13 : 9789810235031
Total Pages : 504 pages
Book Rating : 4.2/5 (35 download)

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Book Synopsis Computational Intelligence in Software Engineering by : Witold Pedrycz

Download or read book Computational Intelligence in Software Engineering written by Witold Pedrycz and published by World Scientific. This book was released on 1998 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Intelligent Engineering Systems

Author : L. C. Jain
Publisher : World Scientific
ISBN 13 : 9789810228897
Total Pages : 204 pages
Book Rating : 4.2/5 (288 download)

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Book Synopsis Hybrid Intelligent Engineering Systems by : L. C. Jain

Download or read book Hybrid Intelligent Engineering Systems written by L. C. Jain and published by World Scientific. This book was released on 1997 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fuzzy Logic

Author : Vladimir Dimitrov
Publisher : Physica
ISBN 13 : 3790818062
Total Pages : 397 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Fuzzy Logic by : Vladimir Dimitrov

Download or read book Fuzzy Logic written by Vladimir Dimitrov and published by Physica. This book was released on 2013-12-06 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Theory of Problem-Solution Dualities and Polarities

Author : Kofi Kissi Dompere
Publisher : Springer Nature
ISBN 13 : 303090279X
Total Pages : 333 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis The Theory of Problem-Solution Dualities and Polarities by : Kofi Kissi Dompere

Download or read book The Theory of Problem-Solution Dualities and Polarities written by Kofi Kissi Dompere and published by Springer Nature. This book was released on 2022-04-25 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Radim Belohlavek
Publisher : Oxford University Press
ISBN 13 : 0190200022
Total Pages : 480 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Fuzzy Logic and Mathematics by : Radim Belohlavek

Download or read book Fuzzy Logic and Mathematics written by Radim Belohlavek and published by Oxford University Press. This book was released on 2017-05-03 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Kofi Kissi Dompere
Publisher : Springer
ISBN 13 : 3030181596
Total Pages : 247 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A General Theory of Entropy by : Kofi Kissi Dompere

Download or read book A General Theory of Entropy written by Kofi Kissi Dompere and published by Springer. This book was released on 2019-08-02 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Marek J. Patyra
Publisher : Springer Science & Business Media
ISBN 13 : 3322889556
Total Pages : 326 pages
Book Rating : 4.3/5 (228 download)

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Book Synopsis Fuzzy Logic by : Marek J. Patyra

Download or read book Fuzzy Logic written by Marek J. Patyra and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Anca L. Ralescu
Publisher : Springer Science & Business Media
ISBN 13 : 9783540663744
Total Pages : 264 pages
Book Rating : 4.6/5 (637 download)

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Book Synopsis Fuzzy Logic in Artificial Intelligence by : Anca L. Ralescu

Download or read book Fuzzy Logic in Artificial Intelligence written by Anca L. Ralescu and published by Springer Science & Business Media. This book was released on 1999-07-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Industrial Applications of Fuzzy Technology in the World

Author : Kaoru Hirota
Publisher : World Scientific
ISBN 13 : 9814500011
Total Pages : 388 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Industrial Applications of Fuzzy Technology in the World by : Kaoru Hirota

Download or read book Industrial Applications of Fuzzy Technology in the World written by Kaoru Hirota and published by World Scientific. This book was released on 1995-10-31 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1980s saw a whole wave of practical applications of fuzzy theory, mainly in the field of process control, with Japan as pioneer. In the '90s there has been a flood of applications to household electrical appliances, and“fuzzy” has become a high-tech buzz-word in Japan. Since then many countries have followed suit and developed their own fuzzy applications. This book reviews the burgeoning industrial applications of fuzzy theory. The contributors are mostly industrial engineers or research experts in the field. The areas covered include automobiles, home appliances, voice recognition, medical techniques, fuzzy design, process control, space operations and mobile autonomous robots. Very recently the development of fuzzy theory has become intertwined with fields such as neural networks and chaos. This volume also summarizes such trends in an industrial context. The book will be of use to senior undergraduates or graduate students, industrial research scientists, and anyone interested in the wide-ranging applicational aspects of fuzzy theory today. Contents:Industrial Fuzzy Control Review: A Perspective from Feedback and Manufacturing (S Isaka & V K Chu)Fuzzy Logic Control in Finnish Industry (H N Koivo)Recursive Fuzzy Reasoning and Its Application to an Auto-Tuning Controller (K Nomoto)A Practical Application of Fuzzy Theory to an Auto-Regulation System for Extra-Corporeal Circulation (ECC) (T Tobi)Automatic Crane Operation Using Fuzzy Cooperative Control Method (O Itoh, H Migita, J Itoh & Y Irie)Integration of Knowledge-Based Configuration with Fuzzy Logic and Optimization (A Günter, M Kopisch & H-J Sebastian)Fuzzy Applications for Automobiles (H Takahashi)Voice Recognition Using Fuzzy Pattern Matching and Its Applications (J-I Fujimoto)Intelligent Home Appliances Using Fuzzy Technology (N Wakami, H Nomura & S Araki)Fusion Technology of Fuzzy and Chaos Theory, and Its Applications (R Katayama)Fusion of Chaos and Fuzzy Logic, and Its Applications: Short-Term Prediction on Chaotic Time Series (T Iokibe, S Murata & M Koyama)Applications of Fuzzy Logic and Neural Networks in Space Operations (Y Jani, R N Lea & R H Brown)Reactive Fuzzy Control of Autonomous Robots (E H Ruspini) Readership: Senior undergraduates, graduate students and practising engineers with interests in the applicational aspects of fuzzy theory. keywords:Computational Intelligence;Control;Expert system;Fuzzy;Image Processing;Industrial Application;Neuro;Robotics;Sensor;Soft Computing

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

Author : Chi-Bin Cheng
Publisher : Springer
ISBN 13 : 3319925253
Total Pages : 219 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Fuzzy and Multi-Level Decision Making: Soft Computing Approaches by : Chi-Bin Cheng

Download or read book Fuzzy and Multi-Level Decision Making: Soft Computing Approaches written by Chi-Bin Cheng and published by Springer. This book was released on 2018-12-14 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Topology

Author : Liu Ying-Ming
Publisher : World Scientific
ISBN 13 : 9814518204
Total Pages : 364 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Fuzzy Topology by : Liu Ying-Ming

Download or read book Fuzzy Topology written by Liu Ying-Ming and published by World Scientific. This book was released on 1998-02-28 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Uncertain Object-Oriented Databases

Author : Rita de Caluwe
Publisher : World Scientific
ISBN 13 : 9814498076
Total Pages : 216 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy And Uncertain Object-Oriented Databases by : Rita de Caluwe

Download or read book Fuzzy And Uncertain Object-Oriented Databases written by Rita de Caluwe and published by World Scientific. This book was released on 1997-10-22 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enriching database models so as to allow the user to deal with fuzzy and uncertain information has been of scientists' concern for years. This resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. The experience was instructive, although still far from concrete applications. The time has come that the advantages of object-oriented databases are acknowledged outside the research and academic worlds and a breakthrough of new commercial softwares is observed. Lately research has been devoted to the endowment of this type of databases with more real-world reflecting semantics. It proved that the object-oriented paradigm lends itself extremely well to it. This is very promising and opens new perspectives for the availability of new-generation database products in the near future. The book presents the latest research results in dealing with fuzziness and uncertainty in object-oriented databases. Contents:Foreword (R Yager)Preface (R de Caluwe)Basic Notions and Rationale of the Integration of Uncertainty Management and Object-Oriented Databases (R de Caluwe et al.)A Hierarchical Model of Fuzzy Classes (J-P Rossazza et al.)Modelling Impreciseness and Uncertainty in the Object-Oriented Data Model — A Similarity-Based Approach (R George et al.)Extending a Graph-Based Data Model to Manage Fuzzy and Uncertain Information (G Bordogna et al.)The UFO Database Model: Dealing with Imperfect Information (N van Gyseghem & R de Caluwe)Fuzzy Object-Oriented Data Model and Fuzzy Association Algebra (S Na & S Park) Readership: Researchers and engineers interested in databases and software engineering/programming. keywords:Concepts of Fuzzy Databases;Modeling of Fuzzy Data;Modeling of Uncertain Data;Modeling of Databases;Modeling of Object-Oriented Databases;Modeling of Fuzziness in Databases;Modeling of Uncertainty in Databases;Fuzzy Databases;Fuzzy Object-Oriented Databases;Uncertain Object-Oriented Databases

Fuzzy Logic For Business, Finance, And Management

Author : Maria Bojadziev
Publisher : World Scientific
ISBN 13 : 9814498068
Total Pages : 252 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy Logic For Business, Finance, And Management by : Maria Bojadziev

Download or read book Fuzzy Logic For Business, Finance, And Management written by Maria Bojadziev and published by World Scientific. This book was released on 1997-07-15 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences. It provides a guide to and techniques for forecasting, decision making, conclusions, and evaluations in an environment involving uncertainty, vagueness, and impression. Traditional modeling techniques do not capture the nature of complex systems especially when humans are involved. Fuzzy logic provides effective tools for dealing with such systems. Emphasis is on applications presented in case studies including Time Forecasting for Project Management, New Product Pricing, Client Financial Risk Tolerance Policy, Deviation and Potential Problem Analysis, Inventory Control Model, Stock Market Strategy.

Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition

Author : Zheru Chi
Publisher : World Scientific
ISBN 13 : 9814498858
Total Pages : 239 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition by : Zheru Chi

Download or read book Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition written by Zheru Chi and published by World Scientific. This book was released on 1996-10-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:Introduction:Basic Concepts of Fuzzy SetsFuzzy RelationsFuzzy Models for Image Processing and Pattern RecognitionMembership Functions:IntroductionHeuristic SelectionsClustering ApproachesTuning of Membership FunctionsConcluding RemarksOptimal Image Thresholding:IntroductionThreshold Selection Based on Statistical Decision TheoryNon-fuzzy Thresholding AlgorithmsFuzzy Thresholding AlgorithmUnified Formulation of Three Thresholding AlgorithmsMultilevel ThresholdingApplicationsConcluding RemarksFuzzy Clustering:IntroductionC-Means AlgorithmFuzzy C-Means AlgorithmComparison between Hard and Fuzzy Clustering AlgorithmsCluster ValidityApplicationsConcluding RemarksLine Pattern Matching:IntroductionSimilarity Measures between Line SegmentsBasic Matching AlgorithmDealing with Noisy PatternsDealing with Rotated PatternsApplicationsConcluding RemarksFuzzy Rule-based Systems:IntroductionLearning from ExamplesDecision Tree ApproachFuzzy Aggregation Network ApproachMinimization of Fuzzy RulesDefuzzification and OptimizationApplicationsConcluding RemarksCombined Classifiers:IntroductionVoting SchemesMaximum Posteriori ProbabilityMultilayer Perceptron ApproachFuzzy Measures and Fuzzy IntegralsApplicationsConcluding Remarks Readership: Engineers and computer scientists. keywords: