Description:
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.
