Journal Information
Fuzzy Sets and Systems
Impact Factor:
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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 thefield 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.
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on Uncertainty and reference involved aggregation model with applications
Submission Date: 2022-12-31

This Special Issue aims to celebrate Dr. Ronald R. Yager’s 80’s birthday. Dr. Yager (born in 1941) is a famous pioneer in several study fields including fuzzy systems and intelligent decision-making theory, among others. He is one of the most esteemed and respected researchers in the field of fuzzy theory and computational intelligence. He won several awards including IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award (2004), IEEE Outstanding Contributor Award Granular Computing (2006), IEEE Frank Rosenblatt Award (2016), and Lotfi A. Zadeh Pioneer Award of the IEEE Systems, Man, and Cybernetics Society (2018), etc. Dr. Yager is the founder and former editor in chief (1988–2020) of the International Journal of Intelligent Systems. He was a NASA/Stanford Visiting Fellow and a Research Associate with the University of California, Berkeley. He was a Lecturer with the NATO Advanced Study Institutes. Notably, most of his numerous published papers were written independently by himself. To honor his contributions, this Special Issue will gather research works and reviews from researchers and scientists mainly working in the research areas most impacted by Dr. Yager’s research in uncertainty and preference involved decision making and aggregation operators such as the development of theory and application of Ordered Weighted Averaging (OWA) operator and fuzzy measure. The Special Issue welcomes original contributions that advance the state-of-the-art of aggregation operator theory and models that are focused on uncertainty and preference, which include (but not limited to): - fuzzy logic; - aggregation operators; - bi-polar preference evaluation models; - interval handling and aggregation; - ordered weighted averaging operators; - preference and uncertainty involved decision making; - extended fuzzy sets with application; - information fusion techniques.
Last updated by Dou Sun in 2022-06-04
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