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, ... click here for full Aims & Scope
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.
Fuzzy set-based techniques are also an important ingredient in the
development of information technologies. In the field
of information
processing fuzzy sets are important in clustering, data analysis and data
fusion, pattern recognition and computer vision.
Fuzzy rule-based modeling
has been combined with other techniques such as neural nets and
evolutionary computing and applied to systems
and control engineering, with
applications to robotics, complex process control and supervision. In the
field of information systems,
fuzzy sets play a role in the development of
intelligent and flexible manBmachine interfaces and the storage of
imprecise linguistic
information. In Artificial Intelligence various forms
of knowledge representation and automated reasoning frameworks benefit from
fuzzy
set-based techniques, for instance in interpolative reasoning,
non-monotonic reasoning, diagnosis, logic programming, constraint-directed
reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,
and also in medical science. In decision and organization
sciences, fuzzy
sets has had a great impact in preference modeling and multicriteria
evaluation, and has helped bringing optimization
techniques closer to the
users needs. Applications can be found in many areas such as management,
production research, and finance.
Moreover concepts and methods of fuzzy
set theory have attracted scientists in many other disciplines pertaining
to human-oriented
studies such as cognitive psychology and some aspects of
social sciences.
The scope of the journal Fuzzy Sets and Systems
has expanded so as to account for all facets of the field while emphasizing its specificity as
bridging the gap between the flexibility
of human representations and the
precision and clarity of mathematical or computerized representations, be
they numerical or symbolic.
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.
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