中文簡(jiǎn)介

國(guó)際模糊系統(tǒng)協(xié)會(huì)(IFSA)官方刊物自1978年創(chuàng)刊以來(lái)，《模糊集與系統(tǒng)》雜志一直致力于模糊集與系統(tǒng)理論與應(yīng)用的國(guó)際發(fā)展。模糊集理論現(xiàn)在包含了一個(gè)組織良好的基本概念語(yǔ)料庫(kù)，包括(但不限于)聚合操作、廣義關(guān)系理論、信息內(nèi)容的具體度量、模糊數(shù)演算。模糊集也是非加性不確定性理論(即可能性理論)的基石，也是語(yǔ)言和數(shù)值建模的通用工具(基于規(guī)則的模糊系統(tǒng))的基石?，F(xiàn)在許多著作將模糊概念與其他科學(xué)學(xué)科以及現(xiàn)代技術(shù)相結(jié)合。在數(shù)學(xué)領(lǐng)域，模糊集引發(fā)了與范疇理論、拓?fù)?、代?shù)、分析等相關(guān)的新的研究課題。模糊集也是近年來(lái)研究廣義測(cè)度和積分的一種趨勢(shì)，并與統(tǒng)計(jì)方法相結(jié)合。此外，模糊集在多值邏輯的傳統(tǒng)中具有很強(qiáng)的邏輯基礎(chǔ)?；谀：募夹g(shù)也是信息技術(shù)發(fā)展的重要組成部分。在信息處理領(lǐng)域，模糊集在聚類(lèi)、數(shù)據(jù)分析和數(shù)據(jù)融合、模式識(shí)別和計(jì)算機(jī)視覺(jué)等方面具有重要意義。模糊規(guī)則建模已與神經(jīng)網(wǎng)絡(luò)和進(jìn)化計(jì)算等其他技術(shù)相結(jié)合，并應(yīng)用于系統(tǒng)和控制工程，應(yīng)用于機(jī)器人、復(fù)雜過(guò)程控制和監(jiān)督。在信息系統(tǒng)領(lǐng)域，模糊集在開(kāi)發(fā)智能靈活的人機(jī)接口和存儲(chǔ)不精確的語(yǔ)言信息方面發(fā)揮著重要作用。在人工智能中，各種形式的知識(shí)表示和自動(dòng)推理框架都得益于基于模糊集的技術(shù)，如插值推理、非單調(diào)推理、診斷、邏輯規(guī)劃、約束定向推理等。模糊專(zhuān)家系統(tǒng)不僅用于故障診斷，也用于醫(yī)學(xué)領(lǐng)域。在決策和組織科學(xué)中，模糊集對(duì)偏好建模和多準(zhǔn)則評(píng)價(jià)產(chǎn)生了重要影響，使優(yōu)化技術(shù)更貼近用戶(hù)需求。應(yīng)用可以發(fā)現(xiàn)在許多領(lǐng)域，如管理，生產(chǎn)研究和金融。此外，模糊集理論的概念和方法已經(jīng)吸引了許多其他學(xué)科的科學(xué)家，如認(rèn)知心理學(xué)和社會(huì)科學(xué)的一些方面的以人為本的研究。《模糊集和系統(tǒng)的范圍已經(jīng)擴(kuò)大,占所有方面的領(lǐng)域,同時(shí)強(qiáng)調(diào)其特異性之間的鴻溝是人類(lèi)表達(dá)的靈活性和精度和清晰的數(shù)學(xué)或計(jì)算機(jī)表示,他們是數(shù)字或符號(hào)。該雜志歡迎在模糊集領(lǐng)域的原創(chuàng)和重大貢獻(xiàn)，無(wú)論是在經(jīng)驗(yàn)或數(shù)學(xué)基礎(chǔ)上，或其應(yīng)用于任何領(lǐng)域的信息技術(shù)，更廣泛地說(shuō)，在任何領(lǐng)域的調(diào)查，模糊集是相關(guān)的。特別歡迎證明模糊方法在實(shí)際問(wèn)題中的實(shí)用性的應(yīng)用論文。模糊集和系統(tǒng)出版高質(zhì)量的研究文章，調(diào)查以及案例研究。單獨(dú)的部分是最近的文獻(xiàn)和公報(bào)，其中提供研究報(bào)告、書(shū)評(píng)、會(huì)議公告和各種新聞項(xiàng)目。邀請(qǐng)的評(píng)論文章一般感興趣的主題，并定期出版特別問(wèn)題。

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英文簡(jiǎn)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.