Da Ruan

This book 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-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?Nuclear Engineering Applications?, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.

Proceedings of the 4th International FLINS Conference, Bruges, Belgium, August 28-30, 2000

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

Hamid Aït Abderrahim

Pierre D'hondt

Etienne E Kerre

This book 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-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, “Nuclear Engineering Applications”, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications. Contents:Fuzzy-Neural Systems: A Basis for Soft-Computing (M M Gupta)Images Under Fuzzy Relations: A Master-Key to Fuzzy Applications (M De Cock et al.)New Formulations of Law of Large Numbers and Its Convergence in the Framework of Possibility Theory (M Oussalah)Learning and Applications Based on Rough Set Theory (D Cai)Genetic Optimization with Fuzzy Decoding (Y-C Tang et al.)Application of Expert System and Machine Learning Approach to Intelligent Man–Machine Interface (M Šorf et al.)Satellite Image Restoration Based on Atmospheric MTF Evaluation (D Arbel & N S Kopeika)Knowledge Representation Using Fuzzy Logic Based Characteristics for Safety Related Applications Part I: Basic Investigations (R Hampel et al.)An Evaluation Method on the Integrated Safeguards Based on Fuzzy Theory (H Matsuoka et al.)Optimization of the Number of Fuzzy Rules Towards a Better Temperature Control of Nuclear Reactors (M Si Fodil et al.)Optimization of the Device of Stages Through Genetic Algorithms for Non-Markovian Systems Reliability Evaluation: An Application to Nuclear Safety Systems (M E Costa Nunes)and other papers Readership: Engineers, computer scientists, mathematicians, medical professionals, psychologists and sociologists. Keywords:Mathematical Tools and New Developments;Intelligent Engineering Applications;Nuclear Engineering Applications;Genetic Optimization;Atmospheric MTF Evaluation;Fuzzy Logic;Fuzzy Theory

Intelligent Techniques and Soft Computing in Nuclear Science and Engineering

Changjiu Zhou

Darío Maravall

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 used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research. "It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future" (Madan M. Gupta)

Soft Computing and Hard Computing Methodologies and Applications

Autonomous Robotic Systems

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 applied research in general and for power/nuclear engineering in particular. Contents: Learning Techniques in Service Robotic Environment (Z Z Bien et al.); The Role of Soft Computing in Applied Sciences (P P Wang); New Operators for Context Adaptation of Mamdani Fuzzy Systems (A Botta et al.); Lukasiewicz Algebra Model of Linguistic Values of Truth and Their Reasoning (L Yi et al.); Annihilator and Alpha-Subset (X Q Long et al.); On PCA Error of Subject Classification (L H Feng et al.); Knowledge Discovery for Customer Classification on the Principle of Maximum Profit (C Zeng et al.); Fuzzy Multi-Objective Interactive Goal Programming Approach to Aggregate Production Planning (T Ertay); Analysing Success Criteria for ICT Projects (K Milis & K Vanhoof); Prioritization of Relational Capital Measurement Indicators Using Fuzzy AHP (A Beskese & F T Bozbura); Risk Analysis and Management of Urban Rainstorm Water Logging in Tianjin (S Han et al.); Obstacle Avoidance Learning for Biomimetic Robot Fish (Z Shen et al.); Urban Signal Control Using Intelligent Agents (M A Alipour & S Jalili); Parallel Evolutionary Methods Applied to a PWR Core Reload Pattern Optimization (R Schirru et al.); and other papers. Readership: Graduate students, researchers and industrialists in AI, applied mathematics, computer science and engineering, electrical & electronic engineering, and nuclear/power engineering.

Proceedings of the 7th International FLINS Conference, Genova, Italy, 29-31 August 2006

Applied Artificial Intelligence

Miltiadis D. Lytras

Robert D. Tennyson

Patricia Ordonez De Pablos

Francisco José García Peñalvo

Lazar Rusu

This book constitutes the proceedings of the 4th World Summit on the Knowledge Society, WSKS 2011, held in Mykonos, Greece, in September 2011. The 90 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers address issues such as information technology, e-learning, e-business, cultural heritage, e-government.

4th World Summit on the Knowledge Society, WSKS 2011, Mykonos, Greece, September 21-23, 2011. Revised Selected Papers

Information Systems, E-learning, and Knowledge Management Research

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. Audience: An important reference work for university students, and researchers and engineers working in both industrial and academic settings.

Fuzzy Set Theory and Advanced Mathematical Applications

Yang Xu

Tianrui Li

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 ninth in the series of FLINS conferences cover state-of-the-art research, development, and technology for computational intelligence systems ? both from foundations and applications points-of-view.

Foundations and Applications - Proceedings of the 9th International Flins Conference

Computational Intelligence

Etienne E. Kerre

Geert Wets

Guoqing Chen

"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.

Techniques and Applications

Intelligent Data Mining

Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths. Applications of these techniques in nuclear engineering present a tremendous challenge due to its strict nuclear safety regulation. The fields of nuclear engineering, fuzzy systems and soft computing have nevertheless matured considerably during the last decade. This book presents new application potentials for Fuzzy Systems and Soft Computing in Nuclear Engineering. The root of this book can be traced back to the series of the first, second and third international workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FUNS), which were successfully held in Mol, September 14-16, 1994 (FLINS'94), in Mol, September 25-27, 1996 (FLINS'96), and in Antwerp, September 14-16, 1998 (FLINS'98). The conferences were organised by the Belgian Nuclear Research Centre (SCKeCEN) and aimed at bringing together scientists, researchers, and engineers from academia and industry, at introducing the principles of fuzzy logic, neural networks, genetic algorithms and other soft computing methodologies, to the field of nuclear engineering, and at applying these techniques to complex problem solving within nuclear industry and related research fields. This book, as its title suggests, consists of nuclear engineering applications of fuzzy systems (Chapters 1-10) and soft computing (Chapters 11-21). Nine pertinent chapters are based on the extended version of papers at FLINS'98 and the other 12 chapters are original contributions with up-to-date coverage of fuzzy and soft computing applications by leading researchers written exclusively for this book.

Fuzzy Systems and Soft Computing in Nuclear Engineering

Mario Fedrizzi

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.

Applications in Technology, Environment and Finance

Soft Computing for Risk Evaluation and Management

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 Logic Foundations and Industrial Applications

FLINS is an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science. FLINS 2002 is the fifth in a series of FLINS conferences and covers state-of-the-art research and development in computational intelligence for applied research in general and for nuclear science and engineering in particular. This book outlines the trends in computational intelligence in control, decision-making, and nuclear engineering, and presents the latest developments of computational intelligent systems in applied research and nuclear applications.

Proceedings of the 5th International FLINS Conference, Gent, Belgium, September 16-18 2002

Computational Intelligent Systems for Applied Research

P. D'hondt

FLINS -- an for fuzzy logic and intelligent acronym technologies in nuclear science -- is a well-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 and development in computational intelligence for applied research.

Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms 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. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

Fuzzy Logic, Neural Networks, and Genetic Algorithms

Intelligent Hybrid Systems

Xianyi Zeng

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.

Methodologies and Applications

Intelligent Sensory Evaluation

- Investigation of new developments and technical limits on applied computational intelligence - Demonstration of added value of applied computational intelligence - Presentation of direct and potential real world applications of applied computational intelligence

Proceedings of the 6th International FLINS Conference, Blankenberge, Belgium, September 1-3, 2004

Applied Computational Intelligence

Jie Lu

Guangquan Zhang

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. This book offers a thorough introduction and systematic overview of the new field e-service intelligence. It covers the state-of-the-art of e-service intelligence including both theorems and applications, and a broad range of topics are discussed.

Methodologies, Technologies and Applications

E-Service Intelligence

Frank Hardeman

Klaas van der Meer

This edited book reports recent research results and provides a state-of-the-art on intelligent decision support systems applications, lessons learned and future research directions. The book covers a balanced mixture of theory and practice, including new methods and developments of intelligent decision support systems applications in Society and Policy Support. Its main objective is to gather a peer-reviewed collection of high quality contributions in the relevant topic areas.

Intelligent Decision and Policy Making Support Systems

Paul P. Wang

How far can you take fuzzy logic, the brilliant conceptual framework made famous by George Klir? With this book, you can find out. The authors of this updated edition have extended Klir’s work by taking fuzzy logic into even more areas of application. It serves a number of functions, from an introductory text on the concept of fuzzy logic to a treatment of cutting-edge research problems suitable for a fully paid-up member of the fuzzy logic community.

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