Journal Guide

Fuzzy Information and Engineering - An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work the journal focuses on applications: research papers, letters, and reviews are welcome. Technical topics within the scope include: 1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classificationc. Fuzzy information processing d. Hardware and software co-designe. Fuzzy computer f. Fuzzy database and data miningg. Fuzzy image processing and pattern recognition h. Fuzzy Information Granulation i. Knowledge acquisition and representation in Fuzzy Information 2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system 3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithmsc. Genetic algorithms d. Fuzzy approximation algorithmse. Computing with words and Quantum computation 4) Fuzzy Engineeringa. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling 5) Fuzzy Operations Researcha. Fuzzy evaluation and decision-making b. Fuzzy overall plans and scheduling c. Fuzzy prediction and forecasting d. Fuzzy countermeasuree. Fuzzy graph theory and network flow f. Fuzzy management in knowledge 6) Artificial Intelligence a. Fuzzy basis , system in knowledge b. Approximate reasoning and fuzzy reasoning machinec. Fuzzy neural networks d. Intelligent controls and robotse. Fuzzy automata f. Statistical learning theory and support vector machine 7) Othersa. Rough sets theory and its applications b. Fuzzy grey systemsc. Fuzzy education d. Fuzzy linguistics e. Fuzzy biology Selected papers from relevant conferences are also welcome. The research and practice of fuzzy information and fuzzy engineering for special interest groups and from special geographic locations will be accommodated by publishing special issues with the help of guest editors. Conference organizers are invited to contact the Editor-in-Chief ifiae@gzhu.edu.cn for further information.

Fuzzy Optimization and Decision Making has been accepted for Science Citation Index Expanded and Current Contents/Engineering Computing and Technology and will first appear with an Impact Factor in the 2009 Journal Citation Reports (JCR), published in June 2010. Fuzzy Optimization and Decision Making 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 te

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.