Product Description
This thoroughly refereed and well organized collection of papers is largely based on papers originally presented at the IJCAI'95 Workshop on Fuzzy Logic in AI, held in Montreal, Canada, in August 1995. Additionally, a few papers were invited in order to round off the scope and competent coverage of relevant topics. The 20 revised full papers included are organized in sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments. Focusing on the most pressing problems of AI, the volume supports the view that fuzzy systems combined with traditional AI leads the move towards the next generation of intelligent systems. ... Read more

Product Description
One of the attractions of fuzzy logic is its utility in solvingmany real engineering problems. As many have realised, the majorobstacles in building a real intelligent machine involve dealing withrandom disturbances, processing large amounts of imprecise data,interacting with a dynamically changing environment, and coping withuncertainty. Neural-fuzzy techniques help one to solve many of theseproblems. Fuzzy Logic and Intelligent Systems reflects the most recentdevelopments in neural networks and fuzzy logic, and their applicationin intelligent systems. In addition, the balance between theoreticalwork and applications makes the book suitable for both researchers andengineers, as well as for graduate students. ... Read more

Product Description
The book focuses on both the engineering applications of fuzzy logic and soft computing and its social applications and philosophical insights at the dawn of the third millennium. The included papers clearly demonstrate that fuzzy logic revolutionizes general approaches to solving applied problems and reveals deep connections between those approaches and the underlying unique theoretical framework. The book consists of three parts: Understanding Society, Mathematics, and Modelling and Control Systems. The first part reveals different aspects of fuzziology, a new study of fuzziness inherent in human knowledge. The second part explores the mathematical foundations of soft computing, while the third part elicits its innovative engineering applications. ... Read more

Product Description
Uncertainty Analysis in Engineering and Sciences: FuzzyLogic, Statistics, and Neural Network Approach examines theuse of newly developed analytical tools for studying uncertaintyanalysis in engineering, control systems, and the sciences. It is thework of 38 experts who have written chapters on newly developedanalytical methods -- fuzzy logic, neural networks, simulation,and Bayesian techniques -- and have applied them to uncertaintyphenomena arising out of information and knowledge problems in thefields of engineering and the sciences. The book is divided into the following parts: Part I reports thetheoretical studies on uncertainty types, models and measures; Part IIreviews the applications of uncertain theoretical tools to engineeringsystems; Part III describes the methodologies of fuzzy-neural dataanalysis and forecasting; Part IV presents two chapters on fuzzy-neurosystems; and Part V describes the methodologies for fuzzy decisionmaking and optimization and their computational methods. The Editors provide a concluding chapter on uncertainty anduncertainty modeling. This is a carefully developed book that treatsthe topic of uncertainty from fresh perspectives and in depth. ... Read more

Product Description

This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.

Product Description

This volume constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Fuzzy Logic and Applications held in Crema, Italy in September 2005.

The 50 revised full papers and 32 short papers presented together with 3 invited papers were carefully reviewed and selected from 86 submissions. The papers are organized in topical sections on neuro-fuzzy systems, fuzzy logic and possibility theory, pattern recognition, evolutionary algorithms, control, bioinformatics, image processing, knowledge management, and miscellaneous applications.

Product Description
While the weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost design. Little attention in structural optimization has been paid to the cost optimization problem, particularly of realistic three-dimensional structures. Cost optimization is becoming a priority in all civil engineering projects, and the concept of Life-Cycle Costing is penetrating design, manufacturing and construction organizations.

In this groundbreaking book the authors present novel computational models for cost optimization of large scale, realistic structures, subjected to the actual constraints of commonly used design codes.

As the first book on the subject this book:

• Contains detailed step-by-step algorithms
• Focuses on novel computing techniques such as genetic algorithms, fuzzy logic, and parallel computing
• Covers both Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD) codes
• Includes realistic design examples covering large-scale, high-rise building structures
• Presents computational models that enable substantial cost savings in the design of structures

Fully automated structural design and cost optimization is where large-scale design technology is heading, thus Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing will be of great interest to civil and structural engineers, mechanical engineers, structural design software developers, and architectural engineers involved in the design of structures and life-cycle cost optimisation. It is also a pioneering text for graduate students and researchers working in building design and structural optimization. ... Read more

Product Description
Addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives. DLC: CAD/CAM systems. ... Read more

Product Description
Fuzzy Logic is an analytical tool used in the modeling of those phenomena that fall outside the scope of exact sciences. It is used in the analysis of complex and highly nonlinear processes, where mathematical models or standard classic logic cannot define conditions inherent to such processes, e.g. human thinking.Kurt Peray's detailed analysis of the new approaches and techniques for Risk Control and Portfolio Asset Allocation - which uses the principles of Fuzzy Logic - helps you to make decisions as to when to buy, hold or sell. While making independent and educated decisions, you will be able to hedge your portfolio from the volatile forces in the market, and will offset the erosive impact of inflation and taxation.In this electronic age, investors have quick access to important information relevant to the decision process. The guidelines and formulas that serve as foundations to the Fuzzy Logic approach gives you the ability to build customized programs. Investing in Mutual Funds Using Fuzzy Logic is for the individual who wants to invest in financial instruments that will provide a return for growth. With the investment approach he devised, Peray guides the you towards achieving your investment goals. ... Read more

Customer Reviews (3)

Good sound advice that works, not just theory
I have used his recommended system of "Mutual Fund Investing" for the past two years. This system imposes constraints for portfolio asset allocation based on the investor's risk tolerance before buy/hold or sell decisions are made using his Fuzzy Logic concept. This disciplined method has been extremely valuable to me in these turbulent times when so many conflicting opinions on stock and bond market directions prevailed.

Disapointed in his interpetation of fuzzy logic
Maybe this is a book for someone new to mutual funds or to retirement planning - there is a lot of background for those.But if you've had any exposure to technical analysis or expect to see fuzzy logic used, this book is a disapointment.Its not really fuzzy logic - he sets absolute limit thresholds and, depending on their on/off combinations, does a buy/hold/sell.A real fuzzy logic system would have produced a proportional response to varying data.I was expecting a system that might, for example, adjust proportions between the funds available within a company 401k (ideal for a real fuzzy logic approach)- not a conventional all-in/all-out, buy/hold/sell approach like his.His system could have been presented in a small magazine article, not bloated to book size.

A great new approach for investing
Peray's technique for investing in mutual funds is easy to understand. I'm a conservative investor and do not need 30 and 50% returns. I also dont want to expose my capital to undue risks. Peray's Fuzzy Logic concept hasproduced an all-out sell signalfor USA equity funds in the first week ofJune 1999 (DOW JONES Industrials over 11000) and I adjusted my portfolioaccordingly. I'm waiting for the Fuzzy Logic signal to get back into themarket . ... Read more

Product Description
Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it.Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answersto issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic.ØReview fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanismsØExplore the trade-offs between efficient theoretical behavior and practical hardware realizationsØDiscover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chipsØInvestigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon ØAnalyze analog, digital, and mixed-signal techniquesØReduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments.ØPut it all together - see examples and case studies illustrating how all of this is used to solveparticular problems related to control and neuro-fuzzy applications ... Read more

Product Description
This book starts with the basic concepts of Fuzzy Logic: themembership function, the intersection and the union of fuzzy sets,fuzzy numbers, and the extension principle underlying the algorithmicoperations. Several chapters are devoted to applications of FuzzyLogic in Operations Research: PERT planning with uncertain activitydurations, Multi-Criteria Decision Analysis (MCDA) with vaguepreferential statements, and Multi-Objective Optimization (MOO) withweighted degrees of satisfaction. New items are: Fuzzy PERT usingactivity durations with triangular membership functions, Fuzzy SMARTwith a sensitivity analysis based upon Fuzzy Logic, the Additive andthe Multiplicative AHP with a similar feature, ELECTRE using the ideasof the AHP and SMART, and a comparative study of the ideal-pointmethods for MOO. Finally, earlier studies of colour perceptionillustrate the attempts to find a physiological basis for theset-theoretical and the algorithmic operations in Fuzzy Logic. Thelast chapter also discusses some key issues in linguisticcategorization and the prospects of Fuzzy Logic as amulti-disciplinary research activity.
Audience: Researchers and students working in appliedmathematics, operations research, management science, businessadministration, econometrics, industrial engineering, informationsystems, artificial intelligence, mathematical psychology, andpsycho-physics. ... Read more

Product Description
This volume constitutes the proceedings of the Second Fuzzy Logic in AI Workshop, held in conjunction with IJCAI '93 in Chamb‚ry, France in August 1993. The book contains full revised versions of the papers presented at the workshop and covers several aspects of fuzzy logic in contributions from renowned researchers. This volume reflects the aim of the workshop, namely to serve as a platform for fruitful contacts between fuzzy engineering researchers interested in AI and AI researchers interested in fuzzy logic applications in engineering: when it comes to designing intelligent systems they are confronted with the same problems and questions and hope for the same successful results. ... Read more

Product Description
For this expanding information - based technological society, this timely volume is a source of many new ideas and authoritative exposition of techniques which are central to the theory of fuzzy logic and its applications to knowledge-based systems, decision and control. This exposition has been provided by some thirty-two researchers from fifteen countries.

In particular, the articles in this volume deal with the theory of fuzzy logic and its applications to knowledge-based systems and decision and control problems, covering a broad spectrum of topics ranging from classification structures and computer vision to team decision problems, forecasting and statistics. They clarify some of the outstanding problems, introduce new concepts and techniques, and point to novel applications.

... Read more

Product Description
Fuzzy Logic has gained increasing acceptance as a way to deal with complexity and uncertainty in many areas of science and engineering. This book is the first to address its practical applications to chemical systems. Ten distinguished authors discuss the role of fuzzy logic in the characterization of a variety of chemical concepts, including chirality, quantum systems, molecular engineering and design, and hierarchical classification methods. Fuzzy Logic in Chemistry will appeal to both students and professionals who are seeking to learn more about theory and applications in an area of growing importance to the physical sciences.

Key Features
* The first book on the applications of fuzzy logic in chemistry
* Covers a topic relevant to many disciplines, including molecular design
* Discusses applications of fuzzy logic to the physical sciences, a rapidly growing area
* Features chapters from highly distinguished authors in the physical sciences ... Read more

Customer Reviews (1)

First book to use fuzzy logic in chemistry
A surprising thing about this book is that it appears to be the first to use fuzzy logic in chemistry. Given that it was published in 1997, that seems rather late, since fuzzy logic was well established in computing and electric engineering in the 1980s.

Ah, but better late than never. Since most chemists have never dealt with fuzzy logic, the editor chose the wise step of having several research chemists write the chapters. Hopefully, this will ease acceptance of the method amongst chemists.

The subjects of the chapters tend to be hard, unsurprisingly. No softball simple textbook examples. Instead, we deal with issues like determining the shape of a large molecule, or the design of a drug. ... Read more

Product Description
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.

Key Features
* 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 ... Read more

Product Description

Neuronale Netze sind parallele datenverarbeitende Strukturen, die sich selbst verändern können. Mittels dieser Fähigkeit versucht ein Neuronales Netz ein durch Trainingsbeispiele vorgegebenes Ein- und Ausgabeverhalten nachzuahmen und Interpolationseigenschaften zu entwickeln.

Fuzzy-Logic ist eine Erweiterung der klassischen Logik in dem Sinne, dass sie statt zwei Werten sämtliche Werte aus aus dem Intervall [0,1] als Wahrheitswerte zulässt. Mit solchen Fuzzy-Werten können vage oder unsichere Daten aus der realen Welt, wie z.B. die linguistischen Terme kurz oder leicht, einfach und zutreffend modelliert werden.

Der Autor gibt eine umfassende Einführung in die Theorie und Praxis der natürlichen Informationsverarbeitung, der künstlichen Neuronalen Netze, der Fuzzy-Logic und der genetischen Algorithmen sowie der Kombination der letzten drei genannten Gebiete zu komplexeren Modellen des Soft-Computing .

Zudem werden praktische Anwendungen wie die Optimierung von Fuzzy-Controllern mittels Neuronaler Netze beschrieben.

Product Description
Tells how knowledge engineering, KE, has been influenced by soft computing, SC, and how SC will be helpful in pushing forward the frontier of KE. Discusses the integration of the multiple elements of SC with those in KE, to inject new life into the classical artificial intelligence world. ... Read more