Lotfi A. Zadeh, The founder of fuzzy logic

Professional Organizations and Networks

International Fuzzy Systems Association (IFSA)

IFSA is a worldwide organization dedicated to the support and development of the theory of 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 sponsors other activities.

Berkeley Initiative in Soft Computing (BISC)

BISC Program is the world-leading center for basic and applied research in soft computing. The principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory.

North American Fuzzy Information Processing Society (NAFIPS)

As the premier fuzzy society in North America established in 1981, our purpose is to help guide and encourage the 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 the NAFIPS web site maintainer (webmaster@nafips.org).

The European Society for Fuzzy Logic and Technology (EUSFLAT)

Established in 1998. The main goal of EUSFLAT are to represent the European fuzzy community of IFSA.

World Federation on Soft Computing

The aim of the Federation is to promote 'Soft Computing' across the world. The Federation will promote all other organizations in this area and will evangelize the concept of 'virtual discussion and publishing'.

Fuzzy Logic Journals

Fuzzy Sets and Systems from Elsevier. View articles.

Official Publication of the International Fuzzy Systems Association (IFSA). Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics. 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 papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.

IEEE Transactions on Fuzzy Systems. View articles.

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.

International Journal of Approximate Reasoning from Elsevier. View articles.

The journal is affiliated with the North American Fuzzy Information Processing Society (NAFIPS), and collaborates with the Society for Imprecise Probability: Theories and Applications (SIPTA). It is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest. Relevant topics include, but are not limited to, fuzzy sets and systems, possibility theory, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, default reasoning, nonstandard logics, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.

Fuzzy Information and Engineering from Elsevier.

Hosting by Elsevier B.V. on behalf of Fuzzy Information and Engineering Branch of the Operations Research Society of China. An International Journal provides a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. The journal focuses on applications, while also presenting fundamental work. The contents include regular papers, short communications, and reviews.

Fuzzy Optimization and Decision Making from Springer-Verlag.

It covers all aspects of the theory and practice of fuzzy optimization and decision making in the presence of uncertainty. It examines theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems. The journal publishes papers in the following areas: modeling, theoretical developments, algorithmic developments, systems development and applications. This journal promotes research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilistic uncertainty. It helps foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal provides a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.

Soft Computing from Springer-Verlag.

It is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field. Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich's, Zentralblatt Math.

Applied Soft Computing from Elsevier. View articles.

The Official Journal of the World Federation on Soft Computing (WFSC). 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 Systems from World Scientific.

It is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.

Information Sciences from Elsevier. View articles.

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. Topics include: Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with Words.

International Journal of Intelligent Systems from Wiley.

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. Because new developments are being introduced each day, there's much to be learned -- examination, analysis creation, information retrieval, man-computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.

Advances in Fuzzy Systems from Hindawi Publishing Corporation.

An international journal which aims to provide a forum for original research articles in the theory and applications of fuzzy subsets and systems. The goal of the journal is to help promote the advances in the development and practice of fuzzy system technologies in the areas of engineering, management, medical, economic, environmental, and societal problems.

Journal of Advanced Computational Intelligence and Intelligent Informatics from Fuji Technology Press.

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 Systems from IOS Press.

The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines. The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.

Asian Journal of Fuzzy and Applied Mathematics.

A forum of theoretical, experimental, applied fuzzy and applied, industrial and computational mathematics techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to discuss the latest scientific and theoretical advances in these fields, and to demonstrate the state-of-the-art systems.

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.Journal of the Japan Society for Fuzzy Theory and Intelligent Informatics Japan Society for Fuzzy Theory and Systems.

As an open, interdisciplinary academic organization, T he Japan Society for Fuzzy Theory and Intelligent Informatics will host forums for providing information and holding discussions using Internet technologies, while organizing symposiums, study groups, international conferences and other events, and editing and issuing society and academic journals as well as running a publishing business.

Iranian Journal of Fuzzy Systems

The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere. The journal is indexed and abstracted in: Thomson ISI, Science Citation Index Expanded, ISC (Islamic World Science Citation Center), Mathematical Reviews, Zentralblatt MATH, EBSCO, SCOPUS.

Turkish Journal of Fuzzy Systems. View articles.

Since its introduction to the research community by Lotfi Asker Zadeh, fuzzy theory has gained a big acceptance in both academia and industry. In todayÕs world, it is easy to see many applications of the fuzzy concept in science and industry. As everything improves, the fuzzy theory and its applications are also advancing to handle much more complicated problems of our lives. However, in many cases it is not easy to distinguish between problems that actually require a crisp or fuzzy approach in their modeling and solution. Indeed, the boundary between them is also uncertain. What types of problems really require modeling and solution through fuzzy logic? What are these problems and what is ÒfuzzinessÓ in them? Without properly answering these fundamental questions, application of fuzzy sets and logic will probably not be very helpful in solving problems of our lives. Turkish Journal of Fuzzy Systems (TJFS) will mainly focus on the determination of problems which can most suitably be handled through a fuzzy systems approach (i.e. fuzziness is their fundamental characteristics) and will provide a unique journal for publishing the recent research on applications, practices, and methodologies of fuzzy sets and systems.

International Journal of Fuzzy System Applications.

A comprehensive reference journal, dedicated to presenting the most innovative systematic and practical facets of fuzzy technologies to students, scholars, and academicians, as well as practitioners, engineers and professionals. Focusing on fuzzy decision support, expert, reasoning and rule-based systems, IJFSA presents up-to-date theoretical views on fuzzy computing, while highlighting empirical approaches useful to real-world utilization. Successes, challenges, and assorted strategies for best usage of fuzzy system applications are explained and discussed.

Journal of Fuzzy Set Valued Analysis.

A peer-reviewed, open access journal that publishes original papers of high scientific value in all areas of fuzzy set valued. The main interest of the journal is in papers that describe and analyse new application of fuzzy set valued functions. Original papers dealing with fuzzy set valued functions and numbers, fuzzy set valued differential and integral, fuzzy measure, fuzzy distance metrics, computational or numerical analysis of fuzzy models and related applications in engineering and intelligent systems.

Fuzzy Economic Review.

The journal Fuzzy Economic Review, edited by the International Association for Fuzzy Set Management and Economy (SIGEF) and the Foundation for Management Study under Uncertainty (FEGI), hopes to become a vehicle for the interchange of research works done on fuzzy set theory and its applications to economy. It aims to show the latest works and trends in the discipline. Fuzzy Economic Review is the result of the desire expressed by members of SIGEF at the First International Congress of the Association held in Reus, 1995. Our intention is to publish an open journal for all the scientific community and we hope that it will be a way to strengthen the relationship between the members of SIGEF.

Journal of Uncertainty Analysis and Applications. A SpringerOpen journal.

Associated with International Consortium for Uncertainty Theory (ICUT) and Hebei University of Engineering. It aims to provide rapid publication on uncertain systems with mathematical descriptions. The journal will provide a global forum for advancing uncertainty analysis with applications to help foster mathematical analysis, as well as the understanding, development, and practice of uncertainty theories for solving problems in economy, engineering, management and the social sciences. The main subjects include mathematical theory of uncertainty, optimization under uncertainty, and applications of uncertainty analysis in fields like the information sciences, engineering, management science and computer science; new concepts and questions are also welcome.

Fuzzy Logic Book Series

Advances in Fuzzy Systems - Applications and Theory from World Scientific.

While classical methodology only admits precise descriptions, fuzzy logic extends to subjective and vague phenomena. It includes the use of approximate reasoning, by which we model how humans obtain information from imprecise information. A major goal is to obtain a description of human knowledge and experience in a way that can be implemented on machines. The field has come a long way since fuzzy set theory was first propounded by Lotfi Zadeh in the mid-1960s. Within thirty years, it had developed from an abstract extension of conventional logic into a field with a whole range of practical applications. Initially, many of these arose in the field of process control, with Japan as pioneer. In recent years however fuzzy logic has found its way into even the commonest household appliances. Advances in Fuzzy Systems is a series of specialized books aiming to provide an up-to-date picture of developments in fuzzy logic, ranging from the strictly theoretical to the latest applications. Topics covered will include fuzzy mathematical theory, soft computing, hardware implementations, and industrial applications. Most books in this series will consist of collections of review articles by acknowledged experts in their field. Occasional research monographs, textbooks, and conference proceedings will also appear. Series Editors: Kaoru Hirota (Tokyo Inst. of Tech), George J Klir (Binghamton Univ.-SUNY), Elie Sanchez (Neurinfo), Pei-Zhuang Wang (West Texas A&M Univ.), Ronald R Yager (Iona College).

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. Indexed by ISI, DBLP and Ulrichs, SCOPUS, Zentralblatt Math, GeoRef, Current Mathematical Publications, IngentaConnect, MetaPress and Springerlink. Series editor: Janusz Kacprzyk.

Studies in Computational Intelligence Series.

From Springer-Verlag. The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence -- quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. Indexed by DBLP, Ulrichs, SCOPUS, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink. Series Editor: Janusz Kacprzyk.

Intelligent Systems Reference Library.

From Springer-Verlag. The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching,Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia. Indexed by SCOPUS, DBLP and Springerlink. Series Editors: Janusz Kacprzyk, Lakhmi C. Jain.

Advances in Intelligent and Soft Computing series.

From Springer-Verlag. The series "Advances in Intelligent 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, multi-valued logic, and related fields. The publications within "Advances in Intelligent and 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. Now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink. Series Editor: Janusz Kacprzyk.

Research groups

The European Centre for Soft Computing

The European Centre for Soft Computing (ECSC) is a research and development centre promoted by the Foundation for the Advancement of Soft Computing located in Mieres, Asturias (Spain). Thier main objectives are to carry out basic and applied research in the field of Soft Computing as well as to transfer technology to industrial applications of intelligent systems to solve real-world problems. The activities and programs of the ECSC are guided by an international Scientific Committee. Besides, the Centre has become a meeting point for worldwide experts and young researchers where they can develop advanced research and training activities.

Centre for Computational Intelligence at De Montfort University, United Kingdom.

The Centre for Computational Intelligence (CCI) exists to develop fundamental theoretical and practical solutions to real world problems using a variety of computational intelligence paradigms. This centre produces high quality, industrially relevant research into intelligent systems. This provides theoretically sound solutions to real world, decision making and prediction problems. With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics. CCI offers a number of benefits to the data management, defence, health, logistics, security and video gaming sectors. Director Bob John.

Fuzziness and Uncertainty Modelling Research Group at Ghent University, Belgium.

Since 1976 the Fuzziness and Uncertainty Modelling Research Group carries out research on theory and applications of soft computing techniques. Current topics of interest include fuzzy set theory, intuitionistic fuzzy set theory and rough set theory, and their applications to image processing and knowledge management. Head: Etienne Kerre.

Pattern Analysis and Machine Intelligence (PAMI) research group at University of Waterloo, Canada

The group was founded in 1980 as a part of the Department of Systems Design Engineering at the University of Waterloo. The group works on a wide diversity of pertinent research areas. It also consists of several professors, researchers and graduate students, as well as adjunct members from other departments and universities. Director: Mohamed Kamel.

Control Systems Engineering Group at Faculty of Information Technology & Systems, Delft University of Technology, The Netherlands.

The 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. Department head: Hans Hellendoorn

Institute for Research and Applications of Fuzzy Modeling, Uni. Ostrava, Czech Republic.

We have significantly contributed to the theory and developed various software tools that offer novel methods and that can be applied in various areas: control, decision-making, data analysis, analysis of signals, solving differential equations, and many others. Starting from July 1, 2011, the Institute for Research and Applications of Fuzzy Modeling has become the Division University of Ostrava of the IT4Innovations. This transformation is due to the engagement of IRAFM and consequently the whole University of Ostrava into the IT4Innovations project. The IT4Innovations project is implemented by five subjects, besides the University of Ostrava, there are also the following ones participating on the Centre of Excellence IT4Innovations: VSB - Technical University of Ostrava, Silesian University in Opava, Brno University of Technology and Institute of Geonics AS CR. Director: Vilém Novák.

Machine Intelligence Institute, USA

Established 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.

Department of Knowledge-Based Mathematical Systems, Linz, Austria

Our core competencies lie in the fields of: Fuzzy logic and fuzzy control, Aggregation functions and dependence structures, Data mining, machine learning, and knowledge-based modelling, Image and signal processing. Head of the Department: Erich Peter Klement.

Approximate Reasoning and Artificial Intelligence Group, University of Granada, Spain

The Working Group on Approximate Reasoning and Artificial Intelligence started off with a small group of researchers which, at the end of the 70s, started working on Fuzzy Sets Theory and Fuzzy Logic. Their work, along with that of other pioneering groups, was the first of its kind on these subjects in Spain. Almost all the researchers from our University who work in this field form part of this group, whose general line of research is the processing of problems de imprecision and uncertainty in Artificial Intelligence, using Fuzzy Logic and Fuzzy Sets Theory as models for this purpose. The group's results over the last few years have placed it amongst the top ones in its field according to the ranking of the Andalusian Research Plan. Head: Miguel Delgado Calvo-Flores.

Research group on Neural Networks and Fuzzy Systems, Uni. Magdeburg, Germany

Our group, led by Rudolf Kruse, examines phenomenas of uncertainty and vagueness in knowledge based systems, and develops and implements methods to cope with them. In research, we currently frequently apply neural networks, fuzzy systems, evolutionary algorithms, Bayesian networks and approximate reasoning. Those techniques are generally used for finding robust, convenient and inexpensive solutions to real-world application problems. In teaching we offer a variety of CI-based, well-coordinated lectures, exercises, seminars and internships on subfields of Computational Intelligence. For this purpose, we use books written by our group as well as software authored by our group.

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 Mining. Principal Investigator I. B. Türksen.

Updated on: October 15, 2014

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