Future Directions Of Fuzzy Theory And Systems

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Future Directions of Fuzzy Theory and Systems

Author : Y Yam,K S Leung
Publisher : World Scientific
Page : 200 pages
File Size : 45,8 Mb
Release : 1995-09-20
Category : Technology & Engineering
ISBN : 9789814501491

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Future Directions of Fuzzy Theory and Systems by Y Yam,K S Leung Pdf

This monograph includes expanded selected papers presented in the “Workshop on the Future Directions of Fuzzy Theory and Systems”. It contains many recent developments in the field and provides valuable insights into the future direction and applications of fuzzy theory and systems. Contents:Fuzzy Control, Fuzzy Graphs, and Fuzzy Inference (L A Zadeh)Toward Intelligent Computing (M Sugeno)Fuzzy Knowledge-Based Systems: Reviews and Perspectives (K S Leung & Y Leung)Mathematical Foundation and Engineering Application (J-Y Zhu)Fuzzy Inference without Membership Function (C P Kwong)A Membership Function Translation Approach for Evaluating Fuzzy Systems (B-H Wei & Y-H Kuo)Fuzzy Counterpropagation Networks (C-C Jou)Fuzzy Controllers Make Interpolation Using Fuzzy Samples (P Z Wang et al.)Adaptive Fuzzy Controller with Model-Following Capability (J T K Koo)The Fuzzy Function Approximation Using Polynomial Rules (L-W Chan)On Fuzzy Inference Based on α-Level Sets (H T Nguyen & Y Maeda)Neural Fuzzy Ellipsoidal Learning and Platoon Control (J Dickerson & B Kosko)Decomposable Approximations of a Class of Fuzzy Controller (Y Yam & W M Lee) Readership: Engineers and computer scientists. keywords:Fuzzy Control;Fuzzy System;Adaptive Fuzzy Control;Intelligent Systems;Knowledge-Based System;Fuzzy Inference;Decomposable Approximation;Fuzzy Interpolation Fuzzy Logic;Neural Fuzzy Learning;Membership Functions;Fuzzy Graphs;Function Approximation;Platoon Control;Adaptive Fuzzy Controller

Future Directions of Fuzzy Theory and Systems

Author : Yeung Yam,K. S. Leung
Publisher : World Scientific
Page : 208 pages
File Size : 48,6 Mb
Release : 1995
Category : Mathematics
ISBN : 9810219199

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Future Directions of Fuzzy Theory and Systems by Yeung Yam,K. S. Leung Pdf

This monograph includes expanded selected papers presented in the ?Workshop on the Future Directions of Fuzzy Theory and Systems?. It contains many recent developments in the field and provides valuable insights into the future direction and applications of fuzzy theory and systems.

Uncertain Rule-Based Fuzzy Systems

Author : Jerry M. Mendel
Publisher : Springer
Page : 684 pages
File Size : 44,7 Mb
Release : 2017-05-17
Category : Technology & Engineering
ISBN : 9783319513706

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Uncertain Rule-Based Fuzzy Systems by Jerry M. Mendel Pdf

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

Introduction to Neuro-Fuzzy Systems

Author : Robert Fuller
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 45,9 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783790818529

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Introduction to Neuro-Fuzzy Systems by Robert Fuller Pdf

Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. • In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. • In fuzzy logic, everything is a matter of degree. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. • Inference is viewed as a process of propagation of elastic con straints. • Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance für specific applications.

Fuzzy Set Theory—and Its Applications

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
Page : 441 pages
File Size : 51,7 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9789401587020

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Fuzzy Set Theory—and Its Applications by Hans-Jürgen Zimmermann Pdf

Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. All chapters have been updated. Exercises are included.

Fuzzy Systems Theory and Its Applications

Author : Toshirō Terano,Kiyoji Asai,Michio Sugeno
Publisher : Elsevier
Page : 268 pages
File Size : 55,9 Mb
Release : 1992
Category : Fuzzy sets.
ISBN : 0126852456

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Fuzzy Systems Theory and Its Applications by Toshirō Terano,Kiyoji Asai,Michio Sugeno Pdf

Computing Methodologies -- Pattern Recognition.

Fuzzy Logic

Author : Marek J. Patyra,Daniel J. Mlynek
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 48,8 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 Modeling and Control

Author : Hung T. Nguyen,Nadipuram R. Prasad
Publisher : CRC Press
Page : 446 pages
File Size : 54,5 Mb
Release : 1999-03-30
Category : Computers
ISBN : 0849328845

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Fuzzy Modeling and Control by Hung T. Nguyen,Nadipuram R. Prasad Pdf

This collection compiles the seminal contributions of Michio Sugeno on fuzzy systems and technologies. Fuzzy Modeling & Control: Selected Works of Sugeno serves as a singular resource that provides a clear, comprehensive treatment of fuzzy control systems. The book comprises two parts fuzzy system identification and modeling systems control Each part outlines the fundamentals of fuzzy logic and covers essential material for understanding the mathematical and modeling details in Sugeno's works. Introductory chapters include extended summaries of each paper or group of papers, suggesting where the theories discussed might be useful in application.

New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Author : Ning Zhong,Andrzej Skowron,Setsuo Ohsuga
Publisher : Springer Science & Business Media
Page : 587 pages
File Size : 54,7 Mb
Release : 1999-10-20
Category : Computers
ISBN : 9783540666455

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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing by Ning Zhong,Andrzej Skowron,Setsuo Ohsuga Pdf

This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.

Intelligent Spatial Decision Support Systems

Author : Yee Leung
Publisher : Springer Science & Business Media
Page : 477 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642607141

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Intelligent Spatial Decision Support Systems by Yee Leung Pdf

In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.

Practical Applications of Fuzzy Technologies

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
Page : 680 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461546016

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Practical Applications of Fuzzy Technologies by Hans-Jürgen Zimmermann Pdf

Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.

Uncertain Rule-based Fuzzy Logic Systems

Author : Jerry M. Mendel
Publisher : Prentice Hall
Page : 584 pages
File Size : 42,5 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015049647897

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Uncertain Rule-based Fuzzy Logic Systems by Jerry M. Mendel Pdf

Jerry Mendel explains the complete development of fuzzy logic systems and explores a new methodology to build better and more intelligent systems. Two case studies are carried throughout the book to illustrate and expand on the theories introduced.

Industrial Applications of Fuzzy Technology in the World

Author : Kaoru Hirota,Michio Sugeno
Publisher : World Scientific
Page : 388 pages
File Size : 42,5 Mb
Release : 1995-10-31
Category : Computers
ISBN : 9789814500012

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Industrial Applications of Fuzzy Technology in the World by Kaoru Hirota,Michio Sugeno Pdf

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 Applications in Industrial Engineering

Author : Cengiz Kahraman
Publisher : Springer
Page : 609 pages
File Size : 47,9 Mb
Release : 2007-05-31
Category : Technology & Engineering
ISBN : 9783540335177

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Fuzzy Applications in Industrial Engineering by Cengiz Kahraman Pdf

After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Future Directions for Intelligent Systems and Information Sciences

Author : Nikola Kasabov
Publisher : Springer Science & Business Media
Page : 424 pages
File Size : 49,9 Mb
Release : 2000-08-04
Category : Computers
ISBN : 9783790812763

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Future Directions for Intelligent Systems and Information Sciences by Nikola Kasabov Pdf

This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.