Da Ruan Livres

„Intelligent Data Mining – Techniques and Applications“ is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.

Offering a systematic introduction to fuzzy set theory, this book compiles essential concepts and research findings from the authors' extensive work over thirty years. It serves as a comprehensive resource for understanding the mathematics of fuzziness, making complex ideas accessible to readers. The material has been refined from lecture notes, ensuring clarity and depth in the exploration of this specialized field.

Fuzzy Logic Foundations and Industrial Applications is an organized 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 new works that have been written exclusively for this book by many of the leading and prominent researchers (such as Ronald Yager, Ellen Hisdal, Etienne Kerre, and others) in this field. The contributions are original and each chapter is self-contained. The authors have been careful to indicate direct links between fuzzy set theory and its industrial applications.Fuzzy Logic Foundations and Industrial Applications is an invaluable work that provides researchers and industrial engineers with up-to-date coverage of new results on fuzzy logic and relates these results to their industrial use.

Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The book supplies a readable, practical toolkit with a clear introduction to fuzzy set theory and its evolution in mathematics and new results on foundations of fuzzy set theory, decision making and systems science, and fuzzy control and neural systems. Each chapter is self-contained, providing up-to-date coverage of its subject. An important reference work for university students, and researchers and engineers working in both industrial and academic settings.

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 state of the art on intelligent techniques-based sensory evaluation in industrial applications. The focus is especially on theoretical/analytical solutions to the problems of real interest in intelligent techniques with applications to engineers and managers of different industrial departments such as production, quality inspection, product design and development and marketing.

Covers a balanced mixture of theory and practice including new methods and developments of intelligent decision support systems applications in Society and Policy Support Includes supplementary material: sn. pub/extras

In little more than a decade, the availability of nuclear power plants in the United States and most European and Pacific Rim countries has increased dramatically from around 60% to about 90%. Such improvement is equivalent to adding approximately 30,000 MW e of new generating capacity in this period in the United States and perhaps an equal amount elsewhere. Some of this improvement has been due to longer fuel cycles-increases from 12 months to 18 or 24 months, but the major gains have been due to on-line maintenance and improved operation and planning by the utilities, accomplished primarily by training of plant operators and support personnel. However, there are emerging indications that the benefits of training are asymptotically approaching the limit beyond which it cannot improve availability and that plant personnel errors may also be approaching a comparable lower limit. Indeed, further improvement appears to be dependent upon the effective introduction and use of plant operational support systems. The Halden Reactor Project (HRP) historically has focused on plant operational support system, i. e. , such tools as COPMA (Computerized OPeration MAnuals), PEANO (Process Evaluation and Analysis by Neural Operators), TEMPO (ThErMal Performance and Optimization), PLASMA (PLAnt Safety Monitoring and Assessment system), and others.

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 first book in the literature that shows how soft computing methods (fuzzy logic, neural networks, genetic algorithms, etc.) can be employed to deal with various problems related to risk analysis, evaluation and management in various fields of technology, environment and finance.

Fuzzy systems and soft computing are innovative computing techniques adept at handling imprecision, uncertainty, and partial truths. Their application in nuclear engineering poses significant challenges due to stringent safety regulations. However, both fields have seen considerable advancements over the past decade. This book explores the potential applications of fuzzy systems and soft computing within nuclear engineering. Its origins lie in a series of international workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FUNS), held in Mol and Antwerp between 1994 and 1998, organized by the Belgian Nuclear Research Centre (SCKeCEN). These workshops aimed to unite scientists, researchers, and engineers from academia and industry, introducing fuzzy logic, neural networks, genetic algorithms, and other soft computing methodologies to nuclear engineering, focusing on complex problem-solving in the nuclear sector. The book is structured into two main sections: the first ten chapters cover applications of fuzzy systems, while chapters eleven to twenty-one focus on soft computing. Nine chapters are based on extended papers from the FLINS'98 workshop, while twelve chapters consist of original contributions from leading researchers, providing contemporary insights into these applications.