FUZZY SETS AND SYSTEMS英文简介

Official Publication of the International Fuzzy Systems Association (IFSA)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.

FUZZY SETS AND SYSTEMS中文简介

国际模糊系统协会(IFSA)官方刊物自1978年创刊以来，《模糊集与系统》杂志一直致力于模糊集与系统理论与应用的国际发展。模糊集理论现在包含了一个组织良好的基本概念语料库，包括(但不限于)聚合操作、广义关系理论、信息内容的具体度量、模糊数演算。模糊集也是非加性不确定性理论(即可能性理论)的基石，也是语言和数值建模的通用工具(基于规则的模糊系统)的基石。现在许多著作将模糊概念与其他科学学科以及现代技术相结合。在数学领域，模糊集引发了与范畴理论、拓扑、代数、分析等相关的新的研究课题。模糊集也是近年来研究广义测度和积分的一种趋势，并与统计方法相结合。此外，模糊集在多值逻辑的传统中具有很强的逻辑基础。基于模糊集的技术也是信息技术发展的重要组成部分。在信息处理领域，模糊集在聚类、数据分析和数据融合、模式识别和计算机视觉等方面具有重要意义。模糊规则建模已与神经网络和进化计算等其他技术相结合，并应用于系统和控制工程，应用于机器人、复杂过程控制和监督。在信息系统领域，模糊集在开发智能灵活的人机接口和存储不精确的语言信息方面发挥着重要作用。在人工智能中，各种形式的知识表示和自动推理框架都得益于基于模糊集的技术，如插值推理、非单调推理、诊断、逻辑规划、约束定向推理等。模糊专家系统不仅用于故障诊断，也用于医学领域。在决策和组织科学中，模糊集对偏好建模和多准则评价产生了重要影响，使优化技术更贴近用户需求。应用可以发现在许多领域，如管理，生产研究和金融。此外，模糊集理论的概念和方法已经吸引了许多其他学科的科学家，如认知心理学和社会科学的一些方面的以人为本的研究。《模糊集和系统的范围已经扩大,占所有方面的领域,同时强调其特异性之间的鸿沟是人类表达的灵活性和精度和清晰的数学或计算机表示,他们是数字或符号。该杂志欢迎在模糊集领域的原创和重大贡献，无论是在经验或数学基础上，或其应用于任何领域的信息技术，更广泛地说，在任何领域的调查，模糊集是相关的。特别欢迎证明模糊方法在实际问题中的实用性的应用论文。模糊集和系统出版高质量的研究文章，调查以及案例研究。单独的部分是最近的文献和公报，其中提供研究报告、书评、会议公告和各种新闻项目。邀请的评论文章一般感兴趣的主题，并定期出版特别问题。

FUZZY SETS AND SYSTEMS中科院分区

FUZZY SETS AND SYSTEMSJCR分区