This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume ...
This edited book is directed primarily to the discussion of the most recent developments and on-going research related to all areas pertaining to plant surveillance and diagnosis. The secondary aim of this book is to identify the successful applications of already well-settled methodological tools in the field. It will highlight advantages of ...
The book will cover a balanced mixture of theory and practice including new methods and developments of intelligent decision support systems applications in Society and Policy Support, including general methodologies, case studies, on-going R&D projects, and practical applications related to AI, Soft computing techniques, Computational ...
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 ...
Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, ...
Risk is a crucial element in virtually all problems people in diverse areas face in their activities. It is impossible to find adequate models and solutions without taking it into account. Due to uncertainty and complexity in those problems, traditional "hard" tools and techniques may be insufficient for their formulation and solution. This is the ...
During the last three decades, interest has increased significantly in the representation and manipulation of imprecision and uncertainty. Perhaps the most important technique in this area concerns fuzzy logic or the logic of fuzziness initiated by L. A. Zadeh in 1965. Since then, fuzzy logic has been incorporated into many areas of fundamental ...
In today's industrial companies, sensory evaluation is widely used in quality inspection of products, in marketing study and in many other fields such as risk evaluation, investment evaluation and safety evaluation. This book collects a number of representative methods on sensory evaluation. The book reports recent research results and provides a ...
Since 1950's, computational techniques have been widely applied in textile industry and garment industry for process and materials' structure modeling, simulation and control, optimization of product quality, product design, textile market forecasting, and production management. The related computational techniques include classical methods such ...
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the eighth book in the series of FLINS conferences cover state-of-the-art research, development, and technology for computational intelligence systems in general, and ...
FLINS, originally an acronym for "Fuzzy Logic and Intelligent technologies in Nuclear Science", has now been extended to include computational intelligent systems for applied research. FLINS 2004, is the sixth in a series of international conferences, covers state-of-the-art research and development in applied computational intelligence for ...
This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be ...
This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing ...
Lattice-valued Logic aims at establishing the logical foundation for uncertain information processing routinely performed by humans and artificial intelligence systems. In this textbook for the first time a general introduction on lattice-valued logic is given. It systematically summarizes research from the basic notions up to recent results on ...
This text contains contributions by many of the experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science. The book examines: fuzzy set theory and its evolution in mathematics; results on foundations of fuzzy set theory; decision making and systems science; and fuzzy control and ...
This is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. The book reviews important concepts and models, and focuses on ...
FLINS - an acronym for fuzzy logic and intelligent technologies in nuclear science - is an established international research forum for advancing the theory and applications of computational intelligence for applied research in general and nuclear science and engineering in particular. The proceedings of FLINS 2002 covers state-of-the-art research ...
This text is an edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to coverage of recent research results, and to industrial applications of fuzzy logic. The chapters are works that have been written for this book by researchers in this field. The ...
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence for Applied Research. The contributions to the seventh in the series of FLINS conferences contained in this volume cover state-of-the-art research and development in applied artificial intelligence for ...
"Mathematics of Fuzziness: Basic Issues" introduces a basic notion of 'fuzziness' and provides a conceptual mathematical framework to characterize such fuzzy phenomena in "Studies in Fuzziness and Soft Computing". The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, ...
This work is divided into three parts. The first part, "Mathematical Tools and New Developments" provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, "Intelligent Engineering Applications", reports on engineering problems such as man ...
Following FLINS '94, the 1st International workshop on fuzzy logic and intelligent technologies in nuclear science, FLINS '96 aims to introduce the principles of intelligent systems and soft computing, including fuzzy logic, neural network, genetic algorithms, knowledge-based expert systems and complex problem-solving techniques, within nuclear ...
Key issues in applied and fundamental research related to fuzzy logic and intelligent technologies in the nuclear industry and related fields were addressed by this workshop. The papers in this volume were carefully selected from a large number of contributions, and cover applications in radiation protection, nuclear safety (human factors and ...
The papers in this volume cover developments, both of a foundational and applicational character, in the fields of intelligent techniques such as fuzzy logic, neural networks, genetic algorithms, robotics, man-machine interface and decision support systems within nuclear science research fields.
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