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| Fuzzy LogicFuzzy Sets and Systems Lotfi A. Zadeh, The founder of fuzzy logic Professional Organizations and Networks International FuzzySystems Association (IFSA)IFSA is a worldwideorganization dedicated to the support and development of the theoryof fuzzy sets and systems and related areas and their applications, publishes the International Journal of Fuzzy Sets and Systems,holds International conferences, establishes chapters and sponsorsother activities. Berkeley Initiative in Soft Computing (BISC) BISC Program is the world-leading center for basic and applied research in softcomputing. The principal constituents of soft computing (SC) are fuzzy logic (FL), neuralnetwork theory (NN) and probabilistic reasoning (PR), with the latter subsuming beliefnetworks, evolutionary computing including DNA computing, chaos theory and parts oflearning theory. North American Fuzzy Information Processing Society (NAFIPS) As the premier fuzzysociety in North America established in 1981, our purpose is to help guide and encouragethe development of fuzzy sets and related technologies for the benefit of mankind. Please mail questions/comments to the NAFIPS president (president@nafips.org) or to theNAFIPS web site maintainer (webmaster@nafips.org). Spanish Association of Fuzzy Logic and TechnologiesPromotes and disseminates the methods, techniques and developments ofFuzzy Logic and Technologies; Establish relations with other national or international Associations with similar aims; Organizes seminars and round tables on Fuzzy Logic and Technologies. Fuzzy Research Groups in Spain. The European Society for Fuzzy Logic and Technology(EUSFLAT)Established in 1998. The main goal of EUSFLAT are to represent the Europeanfuzzy community of IFSA. World Federation on Soft Computing Fuzzy Logic Journals and Books Fuzzy Optimization and Decision Making.It covers all aspects of employing fuzzy technologies to see optimal solutions and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems is welcome. The goal is to help foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal will provide a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems. Journal of Fuzzy Sets and Systems.Official Publication of the International Fuzzy Systems Association.International Journal of Soft Computing and Intelligence.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied Soft Computing.It promotes an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. International Journal Uncertainty, Fuzziness and Knowledge-Based SystemsThe aim of the journal is to promote theoretical, methodological or practicalworks dealing with all kinds of methods to represent and manipulate imperfectlydescribed pieces of knowledge. Editor-in-Chief: Bernadette Bouchon-Meunier. IEEE Transactionson Fuzzy Systems.Publication of the IEEE Computational Intelligence Society.The journal considers papers that deal with the theory, design or applications of fuzzy systems ranging from hardware to software. Authors are encouraged to submit articles that disclose significant technical achievements, exploratory developments, or performance studies of fielded systems based on fuzzy models. Emphasis will be given to engineering applications. Information Sciences.The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry. International Journal of Intelligent Systems.It serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today's experts in the field.Editor-in-Chief: Ronald R. Yager. Mathware and Soft ComputingBasically includes theoretical contributions that use mathematical tools and models that could be relevant in applications for Cognitive Sciences,pure or applied Logic and Artificial Intelligence. Get it online! Journal of Advanced Computational Intelligence and Intelligent Informatics.This journal focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and evolutionary computation, so that more intelligent systems can be built for industrial applications. This new field is called the computational intelligence or soft computing which has already been studied by many researchers, but no single integration journal exists in the world. Journal of Intelligent and Fuzzy SystemsFosters the exchange and dissemination of applications and case studies in the areas of fuzzy logic and intelligent systems among working professionals and professionals in education and research, among a broad cross-section of technical disciplines. Soft ComputingSoft Computing stands for system solutions based on soft computing techniques.Soft Computing is aimed to provide rapid publication of important and timely results on soft computing technologies, intended as a fusion of the following research areas:Evolutionary algorithms and genetic programming;Neural science and neural net systems;Fuzzy set theory and fuzzy systems;Chaos theory and chaotic systems.Soft Computing will be seen from various perspectives: mathematical, system, hard and soft ware. The journal will encourage the integration of soft computing techniques, as well as tools, in both real every-day and advanced applications.Managing Editor: Antonio Di Nola. Studies in Fuzziness and Soft Computing series.From Springer-Verlag.The series Studies in Fuzziness and Soft Computing contains publications on various areas within so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related fields. The publications within Studies in Fuzziness and Soft Computing are primarily monographs and edited volumes. They cover significant recent developments in the field, both of a foundational and applicable character. Editor: Janusz Kacprzyk.Advances in Soft Computing seriesFrom Springer-Verlag.It contains publications on various areas within so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multi-valued logic, and related fields. The publications within "Advances in Soft Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.Editor: Janusz Kacprzyk. Advances in Fuzzy Systems seriesfrom World Scientific.Research groups Centre for Computational IntelligenceDirector Bob John. Fuzziness and Uncertainty Modelling Research Group at Ghent University, BelgiumFounded in 1976 by Prof. Dr. Etienne E. Kerre. Since that time, theoretical and applied research is and has been done on numerous topics in or related to fuzzy set theory. Pattern Analysis andMachine Intelligence (PAMI) research group at University of Waterloo, CanadaThe group was founded in 1980 as a part of the Department of Systems DesignEngineering at the University of Waterloo. The group works on a wide diversity of pertinentresearch areas. It also consists of several professors, researchers and graduate students,as well as adjunct members from other departments and universities. Fuzzy Image Processing at PAMI.Control Systems EngineeringGroup at Faculty of Information Technology & Systems, Delft University of Technology,The NetherlandsThe main goal of the Control Systems Engineering group is to develop methods and tools to control complex nonlinear dynamic systems in order to improve their performance. Institute for Research and Applications of Fuzzy Modeling, Uni. Ostrava, Czech RepublicEstablished in 1996. The main topic of interest of the institute is research and development of soft computing methods. Machine Intelligence Institute, USAEstablished at Iona College in 1985. The purpose of the Machine Intelligence Institute is to help bring to fruition the promise of the current generation of computer based technologies for the development of intelligent knowledge based systems. Director: Ronald R. Yager. Fuzzy Logic in Integrated Reasoning , NRC Institute for Information TechnologyOttawa, CanadaThe IIT of the NRC has developed Fuzzy CLIPS, an enhanced version of CLIPSthat supports Fuzzy Logic. TheirFuzzyJ Toolkitis a set of Java(tm) classes that can be used to build fuzzy logic systems. Fuzzy Logic Laboratorium Linz (FLLL), Linz, AustriaAfter 15 years of theoretical research in Fuzzy Logic Erich Peter Klementfounded the FLLL with the intention of supporting the local industry withknowledge in this rather new area. Approximate Reasoning and Artificial Intelligence Group, University of Granada, Spain Research group on Neural Networks and Fuzzy Systems, Uni. Magdeburg, GermanyThe group, led by Rudolf Kruse, examines phenomenas of uncertainty and vagueness in knowledge based systems, anddevelops and implements methods to cope with them. Knowledge/Intelligence Systems Laboratory in the Department of Mechanical and Industrial Engineering at the University of Toronto, Canada Research areas: Robotics, Fuzzy-Neural Integration, Fuzzy Clustering, Reinforcement Learning, Supervised and Unsupervised Learning,Fuzzy Data MiningBack to |
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