Set theory

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Set theory is the branch of mathematics that studies sets, which are collections of objects. (Wikipedia.org)






Conferences related to Set theory

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2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Promote the exchange of ideas between academia and industry in the field of computer and networks dependability


2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET)

The convergence of current technologies provides the infrastructure for transmitting and storing information faster and cheaper. For information to be used in gaining knowledge, however, environments for collecting, storing, disseminating, sharing and constructing knowledge are needed. Such environments, knowledge media, brings together telecommunication, computer and networking technologies, learning theories and cognitive sciences to form meaningful environments that provides for a variety of learner needs. ITHET 2018 will continue with the traditional themes of previous events. However, our special theme for this year is a fundamental one. We have previously had MOOCs as our special theme, but now they are just infrastructure. Even “Blended Learning” is what we all do anyway. In a time of the unprecedented access to knowledge through IT, it is time for us to revisit the fundamental purpose of our educational system. It is certainly not about knowledge anymore.


2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz2018)

Covering terahertz, far infrared and millimeter wave science, technology and applications


2018 IEEE 12th International Conference on Semantic Computing (ICSC)

Topics for submission include but are not limited to:Analytics (from contents to semantics) Structured data image and video audio and speech big data natural language deep learningDescription and Integration Semantics description languages ontology integration interoperabilityUse of Semantics in IT Applications Multimedia IoT cloud computing SDN wearable computing mobile computing search engines question answering robotics web service security and privacyUse of Semantics in Interdisciplinary Applications biomedicine healthcare manufacturing engineering education finance entertainment business science humanityInterface Natural language multi-modal

  • 2017 IEEE 11th International Conference on Semantic Computing (ICSC)

    Topics of interest include, but are not limited to:• Analytics (from contents to semantics): Structured data, image and video, audio and speech, big data, natural language, deep learning• Description and Integration: Semantics description languages, ontology integration, interoperability• Use of Semantics in IT Applications: Multimedia, IoT, cloud computing, SDN, wearable computing, mobile computing, search engines, question answering, web services, security and privacy• Use of Semantics in Interdisciplinary Applications such as biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science, humanity• Interfaces: Natural language, multi-modal

  • 2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

    Semantic Computing (SC) is Computing based on Semantics (“meaning”, "context", “intention”). It addresses all types of resource including data, document, tool, device, process and people. The scope of SC includes analytics, semantics description languages and integration, interfaces, and applications including biomed, IoT, cloud computing, SDN,wearable computing, context awareness, mobile computing, search engines, question answering, big data, multimedia, and services.

  • 2015 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based AnalysisNatural language processingImage and video analysisAudio, music and speech analysisData and web miningBehavior of software, systems, and networksServices and networksSecurityPrivacyAnalysis of social networksSemantic IntegrationMetadata and other description languagesDatabase schema integrationOntology integrationInteroperability and service integrationSemantic programming languages and software engineeringSemantic system design and synthesisApplications using SemanticsBig DataSearch engines and question answeringSemantic web servicesContent-based multimedia retrieval and editingContext-aware networks of sensors, devices and applicationsDevices and applicationsDigital library applicationsMachine translationMusic description and meta-creationMedicine and BiologyGIS systems and architectureSemantic InterfacesNatural language interfacesMultimodal interfaces and mediation technologyHuman centered computing

  • 2014 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based Analysis:Natural language processing,Image and video analysis, Audio, music and speech analysis, Data and web mining,Behavior of software, services and networks, Services and networks,Security,Privacy,Analysis of social networksSemantic Integration,Metadata and other description languages,Database schema integration,Ontology integration,Interoperability and service integration,Semantic programming languages and software engineering,Semantic system design and synthesisApplications using Semantics,Search engines and question answering,Semantic web services,Content-based multimedia retrieval and editing,Context-aware networks of sensors, devices and applications,Digital library applications,Machine translation,Music description and meta-creation,Medicine and Biology,GIS systems and architectureSemantic Interfaces,Natural language interfaces,Multimodal interfaces and mediation technology,Human centered computing

  • 2013 IEEE Seventh International Conference on Semantic Computing (ICSC)

    Semantics based Analysis

  • 2012 IEEE Sixth International Conference on Semantic Computing (ICSC)

    Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Metadata and other description languages Ontology integration Interoperability and service integration Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS

  • 2011 IEEE Fifth International Conference on Semantic Computing (ICSC)

    Semantics based Analysis Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Semantic Integration Metadata and other description languages Ontology integration Interoperability and service integration Applications using Semantics Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS Semantic Interfaces Natural language interfaces Multimodal interfaces Human centered computing

  • 2010 IEEE Fourth International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing addresses the derivation and matching of the semantics of computational content to that of naturally expressed user intentions in order to retrieve, manage, manipulate or even create content, where "content" maybe anything including video, audio, text, processes, services, hardware, networks, etc.

  • 2009 IEEE Third International Conference on Semantic Computing (ICSC)

    ANALYSIS AND UNDERSTANDING OF CONTENT Natural-language processing Image and video analysis Audio and speech analysis Analysis of structured and semi-structured data Analysis of behavior of software, services, and networks INTEGRATION OF MULTIPLE SEMANTIC REPRESENTATIONS Database schema integration Ontology integration Interoperability and Service Integration SEMANTIC INTERFACES Natural-Language Interface Multimodal Interfaces APPLICATIONS Semantic Web and other search technologies Quest

  • 2008 Second IEEE International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing (SC) brings together those disciplines concerned with connecting the (often vaguely-formulated) intentions of humans with computational content. This connection can go both ways: retrieving, using and manipulating existing content according to user's goals ("do what the user means"); and creating, rearranging, and managing content that matches the author's intentions ("do what the author means").

  • 2007 First IEEE International Conference on Semantic Computing (ICSC)


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Periodicals related to Set theory

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Set theory

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Xplore Articles related to Set theory

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A survey of some results in lattice-valued model theory

[{u'author_order': 1, u'affiliation': u'Dept. of Math., Beijing Normal Univ., China', u'full_name': u'S. Wang'}] [1988] Proceedings. The Eighteenth International Symposium on Multiple-Valued Logic, 1988

The author surveys some of his published results on the model theory of lattice-valued logic. Among the results surveyed are: the fundamental theorem of ultraproducts, the compactness theorem, the LST theorem, and the omitting types theorem. A proof of the compactness theorem is appended.<<ETX>>


The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets

[{u'author_order': 1, u'affiliation': u'Dalian University of Technology, Dalian', u'full_name': u'Xiaodong Liu'}, {u'author_order': 2, u'affiliation': u'University of Alberta, Edmonton', u'full_name': u'Witold Pedrycz'}, {u'author_order': 3, u'affiliation': u'Northwestern University, Shenyang', u'full_name': u'Tianyou Chai'}, {u'author_order': 4, u'affiliation': u'Dalian University of Technology, Dalian', u'full_name': u'Mingli Song'}] IEEE Transactions on Knowledge and Data Engineering, 2009

The notion of a rough set was originally proposed by Pawlak underwent a number of extensions and generalizations. Dubois and Prade (1990) introduced fuzzy rough sets which involve the use of rough sets and fuzzy sets within a single framework. Radzikowska and Kerre (2002) proposed a broad family of fuzzy rough sets, referred to as (phi, t)-fuzzy rough sets which ...


Normal forms of fuzzy middle and fuzzy contradictions

[{u'author_order': 1, u'affiliation': u'Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada', u'full_name': u'I.B. Turksen'}, {u'author_order': 2, u'full_name': u'A. Kandel'}, {u'author_order': 3, u'full_name': u'Yan-Qing Zhang'}] IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999

The expressions of "excluded middle" and "crisp contradiction" are reexamined starting with their original linguistic expressions which are first restated in propositional and then predicate forms. It is shown that, in order to generalize the truth tables and hence the normal forms, the membership assignments in predicate expressions must be separated from their truth qualification. In two-valued logic, there is ...


Logical calculi of rough-set granules in problems of approximate synthesis in distributed systems

[{u'author_order': 1, u'affiliation': u'Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland', u'full_name': u'L. Polkowski'}, {u'author_order': 2, u'full_name': u'A. Skowron'}] Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300), 1999

A logical calculus of granules is presented. This calculus provides a framework for the approximate synthesis of solutions under uncertainty by distributed systems. The presented calculus is based on rough mereology, a paradigm for approximate reasoning developed by the authors which blends together and relies on the mereology ideas of St. Lesniewski (see L. Polkowski and A. Skowron, Intell. Automation ...


Intelligence vague information analysis and decision support system

[{u'author_order': 1, u'affiliation': u'Northern Jiaotong Univ., Beijing, China', u'full_name': u'Anyang Su'}] Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2002

With a rapid growth of interest in recent years, vague set has become an effective tool to handle inexact data in the fields of fuzzy information processing. In this paper, I use vague set theory on information analysis and decision support system, set up vague information analysis system, and develop fuzzy gray matter element space decision system into vague gray ...


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eLearning

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IEEE.tv Videos

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IMS Organizer: Richard Snyder, President Elect for MTT-S

IEEE-USA E-Books

  • Basic Fuzzy Set Theory

    Fuzzy set theory and fuzzy logic provide a different way to view the problem of modeling uncertainty and offer a wide range of computational tools to aid decision making. The mathematical basis for formal fuzzy logic can be found in infinite-valued logics, first studied by the Polish logician Jan Lukasiewicz in the 1920s. While the big economic impact of fuzzy set theory and fuzzy logic centers on control, particularly in consumer electronics, there has been, and continues to be, much research and application of these technologies in pattern recognition, information fusion, data mining, and automated decision making. All fuzzy set theory is based on the concept of a membership function. In many cases, the membership functions take on specific functional forms such as triangular, trapezoidal, S-functions, pi-functions, sigmoids, and even Gaussians for convenience in representation and computation. A neural network also acts as a membership function.

  • Strings, Languages, and Compilers

    This chapter contains sections titled: * Introduction * Basic Language Concepts * Basic Compiler Concepts * Basic Set Theory * Null String * Concatenation * Exponent Notation * Star Operator (Also Known as the Zero-or-More Operator) * Concatenation of Sets of Strings * Plus Operator (Also Known as the One-or-More Operator) * Question Mark Operator (Also Known as Zero-or-One Operator) * Shorthand Notation for a Set Containing a Single String * Operator Precedence * Regular Expressions * Limitations of Regular Expressions * Problems

  • Fuzzy Multiattribute Decision-Making for Solid Waste Management with Societal Complications

    Delineating the social, economic, ecological, and environmental objectives into a succinct yet representative management model for decision-making is oftentimes prone to considerable subjectivity, imprecision, and uncertainty. This chapter provides the readers with a capsule look into the fundamentals of fuzzy set theory and existing fuzzy multiattribute decision-making problems with possible extensions and applications in dealing with two different types of solid waste management (SWM) issues. It starts with the introduction of basic concept of fuzzy sets, followed by two case studies for SWM in sequence for addressing landfill siting issues in Texas, and fair fund redistribution issues in Taiwan, all of which collectively illuminate the essence of fuzzy multiattribute decision-making. With the development of geographical information system (GIS), the landfill siting process is increasingly based on more sophisticated spatial analysis and modeling.

  • Fuzzy Systems

    Fuzzy logic was transformed from a 'buzz word' to an important technological area, with many publications in conferences and transactions. Many Japanese products applying fuzzy concepts, such as household appliances and electronic equipment, have been manufactured. This chapter presents a relation of classical and fuzzy sets and concepts of fuzzy graphs and fuzzy relations. It also presents the foundation of fuzzy logic, with the fuzzification inference process and defuzzification process. The chapter explores a popular fuzzy model to represent complex systems and an application of fuzzy control. A fuzzy decision system provides a mapping between input and output variables. The chapter also mentions some application areas of fuzzy techniques. It describes principal definitions and concepts of the classical Cantor's sets that are well‐known in order to guide the readers about the notation and a comparison with the similar concepts in fuzzy sets theory.



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