Search results for "ZIF"

showing 10 items of 59 documents

Fuzzy functions: a fuzzy extension of the category SET and some related categories

2000

<p>In research Works where fuzzy sets are used, mostly certain usual functions are taken as morphisms. On the other hand, the aim of this paper is to fuzzify the concept of a function itself. Namely, a certain class of L-relations F : X x Y -> L is distinguished which could be considered as fuzzy functions from an L-valued set (X,Ex) to an L-valued set (Y,Ey). We study basic properties of these functions, consider some properties of the corresponding category of L-valued sets and fuzzy functions as well as briefly describe some categories related to algebra and topology with fuzzy functions in the role of morphisms.</p>

Discrete mathematicsFuzzy classificationL-relationFuzzy topologylcsh:MathematicsFuzzy setlcsh:QA299.6-433Fuzzy subalgebralcsh:AnalysisFuzzy groupType-2 fuzzy sets and systemslcsh:QA1-939DefuzzificationAlgebraFuzzy mathematicsL-fuzzy functionFuzzy numberFuzzy set operationsGeometry and TopologyFuzzy categoryMathematics
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Upper and lower approximations of general aggregation operators based on fuzzy rough sets

2015

Our paper deals with constructions of upper and lower general aggregation operators which act on fuzzy sets. These constructions are based on fuzzy rough sets and provide two approximations (upper and lower) of the pointwise extension and the t-extension of an ordinary aggregation operator. Considering two lattices of corresponding general aggregation operators we describe two approximate systems with respect to a lattice of fuzzy equivalence relations.

Discrete mathematicsPure mathematicsFuzzy classificationFuzzy mathematicsFuzzy setFuzzy set operationsFuzzy numberRough setFuzzy subalgebraDefuzzificationMathematics2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
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The overstated generational gap in online news use? A consolidated infrastructural perspective

2021

Recent research by Taneja et al. suggested that digital infrastructures diminish the generational gap in news use by counteracting preference structures. We expand on this seminal work by arguing that an infrastructural perspective requires overcoming limitations of highly aggregated web tracking data used in prior research. We analyze the individual browsing histories of two representative samples of German Internet users collected in 2012 ( N = 2970) and 2018 ( N = 2045) and find robust evidence for a smaller generational gap in online news use than commonly assumed. While short news website visits mostly demonstrated infrastructural factors, longer news use episodes were shaped more by …

FacebookNutzungmedia behaviorSociology and Political Sciencesocial mediaTwitterGenerationutilizationDigitale MedienFederal Republic of GermanyrepresentativityRepräsentativitätinfrastructureddc:070Digital infrastructures; generations; media repertoires; online news; preferences; social media; web trackingMedienverhaltenInteractive electronic MediaSoziale MedienMedienage-specific factorsnewsSocial mediaSociologyPositive economicspreferenceinteraktive elektronische Mediendigital mediaNews media journalism publishingOnline-MedienNachrichtenInternetStichprobeCommunicationInfrastrukturmediaPerspective (graphical)10800Präferenzonline mediasampleBundesrepublik DeutschlandPreferenceWeb trackingWork (electrical)altersspezifische FaktorenPublizistische Medien JournalismusVerlagswesenNew Media & Society
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La sombra del fascismo

1998

FranciaNazifascismoDemocraciaFascismoXenófoboVidal-Beneyto JoséEspañaPOLÍTICANacional-populistaDesencanto ciudadanoFranquismoEleccionesPublicaciones: Obra periodística: Columnas y artículos de opiniónMovimientoExtrema derechaDe GaulleMemoria colectivaOpciones políticasRacistaIdeologíaColaboración
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Fuzzy methods for analysing fuzzy production environment

1998

Abstract Very recently, in production management research literature, the necessity to extend production systems analysis techniques, such as queue theory, Mean Value Analysis (MVA) and discrete simulation, to Fuzzy Production Environments, i.e. to those production situations in which data are vague, has emerged. Fuzzy set theory is a powerful tool to model vagueness and, therefore, fuzzy mathematics can be used to extend classical production system analysis techniques. This paper proposes a methodology based on fuzzy relation algebra to extend classical MVA and discrete event simulation.

Fuzzy classificationFuzzy measure theorybusiness.industryGeneral MathematicsFuzzy setcomputer.software_genreDefuzzificationFuzzy logicIndustrial and Manufacturing EngineeringComputer Science ApplicationsControl and Systems EngineeringFuzzy mathematicsFuzzy set operationsFuzzy numberArtificial intelligenceData miningbusinesscomputerSoftwareMathematicsRobotics and Computer-Integrated Manufacturing
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A fuzzy framework to explain musical tuning in practice

2013

A theoretical tuning system is a set of pitches that can be used to play music. It is a fact that the human ear perceives notes with very close frequencies as if they were the same note. Therefore, in our approach a musical note and its pitch sensation are modeled as L-R fuzzy numbers with a modal interval and a bounded support. We pay particular attention to the 12-tone equal temperament (12-TET) for being the most widely used tuning system and we define the fuzzy 12-TET composed of 12 fuzzy notes. A similarity relation between a fuzzy note and a theoretical note can be defined, and subsequently a similarity class associated to each one of the fuzzy notes in the fuzzy 12-TET arises. Finall…

Fuzzy classificationLogicbusiness.industryMusical tuningMusical noteType-2 fuzzy sets and systemsDefuzzificationFuzzy logicArtificial IntelligenceFuzzy mathematicsFuzzy numberArtificial intelligencebusinessMathematicsFuzzy Sets and Systems
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Fuzzy Classifier Based on Fuzzy Decision Tree

2007

A popular method for making a fuzzy decision tree for classification is Fuzzy ID3 algorithm. We introduce a new approach that uses cumulative information estimations of initial data. Based on these estimations we propose a new greedy version of fuzzy ID3 algorithm to be used to generate understandable fuzzy classification rules. The goal is to find a sequence of rules that causes near minimal classification costs.

Fuzzy classificationNeuro-fuzzybusiness.industryType-2 fuzzy sets and systemscomputer.software_genreMachine learningDefuzzificationComputingMethodologies_PATTERNRECOGNITIONInformation Fuzzy NetworksFuzzy numberFuzzy set operationsFuzzy associative matrixArtificial intelligenceData miningbusinesscomputerMathematicsEUROCON 2007 - The International Conference on "Computer as a Tool"
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An Approach to the Concept of Soft Fuzzy Proximity

2014

The purpose of this paper is to introduce the concept of soft fuzzy proximity. Firstly, we give the definitions of soft fuzzy proximity and Katsaras soft fuzzy proximity, and also we investigate the relations between the soft fuzzy proximity and slightly modified version of Katsaras soft fuzzy proximity. Secondly, we induce a soft fuzzy topology from a given soft fuzzy proximity by using soft fuzzy closure operator. Then, we obtain the initial soft fuzzy proximity from a given family of soft fuzzy proximities. So, we describe products in the category of soft fuzzy proximities. Finally, we show that a family of all soft fuzzy proximities on a given set constitutes a complete lattice.

Fuzzy classificationTheoretical computer scienceArticle SubjectMathematics::General MathematicsApplied MathematicsAstrophysics::High Energy Astrophysical Phenomenalcsh:MathematicsTopologylcsh:QA1-939DefuzzificationFuzzy logicComputingMethodologies_PATTERNRECOGNITIONComplete latticeFuzzy numberFuzzy set operationsClosure operatorFuzzy associative matrixComputingMethodologies_GENERALAnalysisComputingMilieux_MISCELLANEOUSMathematicsAbstract and Applied Analysis
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Different averages of a fuzzy set with an application to vessel segmentation

2005

Image segmentation is a major problem in image processing, particularly in medical image analysis. A great number of segmentation procedures produce intermediate gray-scale images that can be understood as fuzzy sets. Additionally, some segmentation procedures tend to leave free tuning parameters (very influential in the final binary image) for the user. These different binary images can be easily aggregated (into a fuzzy set) by making use of fuzzy set theory. In any case, a single binary image is required so our interest is to associate a crisp set to a given fuzzy set in an intelligent and unsupervised manner. The main idea of this paper is to define the averages of a given fuzzy set by …

Fuzzy classificationbusiness.industryApplied MathematicsBinary imageFuzzy setComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionImage segmentationDefuzzificationComputational Theory and MathematicsArtificial IntelligenceControl and Systems EngineeringComputer Science::Computer Vision and Pattern RecognitionFuzzy set operationsFuzzy numberArtificial intelligencebusinessMathematicsIEEE Transactions on Fuzzy Systems
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Fuzzy C-Means Inspired Free Form Deformation Technique for Registration

2009

This paper presents a novel method aimed to free form deformation function approximation for purpose of image registration. The method is currently feature-based. The algorithm is inspired to concepts derived from Fuzzy C-means clustering technique such as membership degree and cluster centroids. After algorithm explanation, tests and relative results obtained are presented and discussed. Finally, considerations on future improvements are elucidated.

Fuzzy clusteringFuzzy classificationbusiness.industryComputer sciencefuzzy medical image registrationImage registrationFuzzy logicDefuzzificationComputingMethodologies_PATTERNRECOGNITIONFLAME clusteringComputer visionFree-form deformationArtificial intelligenceCluster analysisbusinessAlgorithm
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