For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic. The first book of its kind, this text explains how all kinds of uncertainties can be handled within the framework of a common theory and set of design tools-fuzzy logic systems-by moving the original fuzzy logic to the next level-type-2 fuzzy logic. It presents ...
"Chaos Theory" is a revolutionary approach to understanding and forecasting the behavior of complex systems. The theory, which utilizes nonlinear mathematics to identify the underlying rules of evolving systems, provides extraordinary insights into the dynamics of the financial markets. In so doing, Dr. Chorafas explores a variety of new ...
Professor Merrie Bergmann presents an accessible introduction to the subject of many-valued and fuzzy logic designed for use on undergraduate and graduate courses in non-classical logic. Bergmann discusses the philosophical issues that give rise to fuzzy logic - problems arising from vague language - and returns to those issues as logical systems ...
"Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration" is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and ...
Reflecting the advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well. Theoretical aspects of fuzzy set theory and fuzzy logic are covered in Part ...
This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision ...
"Fuzzy Logic for Embedded Systems Applications", by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. ...
This book deals with fuzzy relational systems, i.e. with systems of fuzzy relations defined on a set. Fuzzy relational systems represent mathematical framework for fuzzy relational modeling which is the most successful part of fuzzy logic. The book deals with foundational aspects of fuzzy relational systems. It starts (Chapter 2) with motivations ...
This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of ...
Fuzzy Management is designed for thsoe who find current management orthodoxies inadequate, who are interested in alternative ideas and how they might be applied to management practice, but are not enthralled by the esoteric world of theoretical books about theory. This book offers a bridge between the 'esoteric' world of theory and the 'practical' ...
"The Fuzzy Future" will do for "fuzzy logic" what "Chaos" did for the innovative scientific perspective. This is the book to read today in order to comprehend tomorrow's scientific headlines. 9 illustrations.
The 2005 BISC International Special Event-BISCSE'05 'Forging the frontiers' was held in the University of California, Berkeley, 'Where fuzzy logic began', from November 3-6, 2005. The successful applications of fuzzy logic and it's rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely ...
Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author presents a succinct guide to the basic ideas of fuzzy logic, fuzzy sets, fuzzy relations, and fuzzy reasoning, and shows how they may be applied. The ...
"Classical and Fuzzy Concepts in Mathematical Logic and Applications" provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic. Exploring the parallels between classical and fuzzy mathematical logic, the book examines the use of logic in computer science, addresses questions in automatic ...
The contributors to this manual attempt to demystify the latest analytical breakthroughs, explore their impact on modern finance theory and practice, and reveal the best ways for profitably applying them to any trading and portfolio management system. The guide provides proven strategies for using neural networks, algorithms, fuzzy logic and ...
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 ...
Environmental impact assessments are required for a wide-range of projects throughout the world. These assessments have increasing involved complex, political decision-making and incorporated values and beliefs of both stakeholders and interested parties. However, the results are often ineffective because values and beliefs are not easily ...
The leading proponent of fuzzy logic--the most explosive new concept in science since chaos theory--shows how it will shape every aspect of life in the digital age, from politics and genetics to warfare, technology, and mortality.
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this ...
The 2005 BISC International Special Event-BISCSE'05 'Forging the frontiers' was held in the University of California, Berkeley, 'Where fuzzy logic began', from November 3-6, 2005. The successful applications of fuzzy logic and it's rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely ...
This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD ...
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 ...
Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume II: Dynamic Analysis and Modeling A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and ...
Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition ...
This book considers Soft Computing methods and their applications in the human sciences, such as the social and the behavioral sciences. Soft Computing methods - including fuzzy systems, neural networks, evolutionary computing and probabilistic reasoning - are state-of-the-art methods in theory formation and model construction. The powerful ...
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