Journal Information
Fuzzy Sets and Systems
http://www.journals.elsevier.com/fuzzy-sets-and-systems/
Impact Factor:
2.907
Publisher:
ELSEVIER
ISSN:
0165-0114
Viewed:
7057
Tracked:
3

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Call For Papers
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 2019-11-24
Special Issues
Special Issue on New Trends in Aggregation
Submission Date: 2020-03-31

Aggregation functions theory, having numerous applications in different fields, such as decision making, image processing, data fusion, statistics, fuzzy sets, classification, etc., is an exponentially growing field. This fact can be seen in numerous papers published either at distinguished journals (FSS, INS, IJGS, IEEE TFS, to name a few) or presented at highly-ranked international conferences (EUSFLAT, IPMU, FUZZ IEEE, IFSA among others), and its state-of-art was covered in several books. The aim of this special issue is to offer a space for the latest developments in aggregation theory and application, especially (but not limited) for full papers related to recent conference presentations (e.g., EUSFLAT 2019 in Prague has hosted 4 special sessions devoted to these topics). In the case of EUSFLAT 2019 conference papers, we expect a substantial addition of new content to the the published paper, representing an extension of around 30-40 %.
Last updated by Dou Sun in 2020-03-24
Special Issue on Fractional Fuzzy Differential Equations
Submission Date: 2020-04-15

One of the great revolution by humankind is perhaps their capabilities to depict real world problems using mathematical tools. One of their aims, is to control the environment within which they leave, nevertheless, we shall note that the process of controlling the environment requires some fundamental steps including observation, interpretation and finally prediction. To achieve the last two steps, researcher employ mathematical models based on differential equations, while differential equations have been used very efficiently in the last decades, researchers found out that, using the concept of differentiation based on the rate of change cannot be used to capture randomness. Thus, a new class of differential operators called fuzzy differential operators were introduced and applied in many fields of science, technology and engineering. While these new classes of differential equations had opened new doors to various theories and applications, researchers also discovered that, they were also unable to capture or depict physical problems following power law process, fading memory and crossover behavior. With a fruitful conversation between L Hopital and Leibniz, new class of differential operator called fractional derivative. However this version helped to capture physical problems following power law processes of course there exist in nature many physical problem following fading memory, more importantly, physical problem following two different laws cannot be depicted. Thus in 2016 new class of differential operators were suggested and have been recognized as powerful mathematical tools to depict heterogeneities. With these new differential and integral operators, new types of fuzzy differential equations. The aim of this issue is to collect latest results from theoretical to application point of view of fuzzy fractional differential equations. The collection will involve topic on but not limited to Application of fuzzy ordinary fractional differential equations Application of fuzzy partial fractional differential equations Application to medical decision making Segmentation of images or signal Application to control and optimization Application to epidemiology Application to geohydrology
Last updated by Dou Sun in 2019-11-24
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