Fuzzy Sets and Systems
Lotfi A. Zadeh, The founder of fuzzy logic
Professional Organizations and Networks
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
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
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 (firstname.lastname@example.org) or to the
NAFIPS web site maintainer (email@example.com).
The European Society for Fuzzy Logic and Technology
- 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
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.
- 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
- 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
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
- 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
- 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
- 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
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
- 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
- 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.
- Since its introduction to the research community
by Lotfi Asker Zadeh, fuzzy theory has gained a big acceptance in
both academia and industry. In today’s 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 “fuzziness” 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
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
- Associated with International
Consortium for Uncertainty Theory (ICUT)
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.
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,
- 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.
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:
- 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:
- Control Systems Engineering
Group at Faculty of Information Technology & Systems, Delft University of Technology,
- 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:
- 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
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:
- 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.
Systems Laboratory in the
Department of Mechanical and
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