Search results for "Fuzzy Logic."

showing 10 items of 449 documents

"Fixed Point Theorems for '?, ?'Contractive maps in Weak nonArchimedean Fuzzy Metric Spaces and Application"

2011

The present study introduce the notion of (ψ, ϕ)-Contractive maps in weak non-Archimedean fuzzy metric spaces to derive a common fixed point theorem which complements and extends the main theorems of [C.Vetro, Fixed points in weak non-Archimedean fuzzy metric spaces, Fuzzy Sets and System, 162 (2011), 84-90] and [D.Mihet, Fuzzy ψ-contractive mappings in non-Archimedean fuzzy metric spaces, Fuzzy Sets and System, 159 (2008) 739-744]. We support our result by establishing an application to product spaces.

Pure mathematicsMathematics::General MathematicsComputer scienceInjective metric spaceFuzzy setFixed-point theoremNon-Archimedean fuzzy metric spaceProduct metricT-normFuzzy subalgebraFixed pointCommon fixed pointFuzzy logic ϕ)-contractive mapsConvex metric spaceSettore MAT/05 - Analisi MatematicaFuzzy mathematicsFuzzy numberMetric mapInternational Journal of Computer Applications
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THERP and HEART integrated methodology for human error assessment

2015

Abstract THERP and HEART integrated methodology is proposed to investigate accident scenarios that involve operator errors during high-dose-rate (HDR) treatments. The new approach has been modified on the basis of fuzzy set concept with the aim of prioritizing an exhaustive list of erroneous tasks that can lead to patient radiological overexposures. The results allow for the identification of human errors that are necessary to achieve a better understanding of health hazards in the radiotherapy treatment process, so that it can be properly monitored and appropriately managed.

RadiationComputer scienceProcess (engineering)Medical cyclotronHuman errorFuzzy setTechnique for Human Error Rate PredictionFuzzy logicReliability engineeringIdentification (information)PETRadiotherapy treatmentRadiopharmaceuticalsRadioactive air effluentSettore ING-IND/19 - Impianti Nucleari
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Towards a Modelization of the elusive Concept of Wisdom using Fuzzy Techniques

2012

After having been a term of reflection in philosophy as well as psychology for ages, the fascination with human wisdom finally reaches the realms of computer science. In comparison to the first philosophical definition attempts, that date back to Aristotle (384 BC – 322BC), the efforts in information science during the late 1980s seem quite recent. Nevertheless have there been astonishing new insights provided by cognitive science since those first formal modelizations were designed – findings that strongly suggest a reconsideration of our current formalization of wisdom in the computer science domain. We suggest to establish a new, integrated view on the concept of wisdom, using the insigh…

Reflection (computer programming)Cognitive systemsSettore INF/01 - Informaticabusiness.industryFuzzy setPhilosophy of psychologyFuzzy logicInformation scienceDomain (software engineering)EpistemologyPhilosophy of computer scienceWisdom FuzzinessArtificial intelligencebusinessPsychology
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Fuzzy approach based model of interrelated factors for financial industry client risk assessment

2020

Risk analysis (engineering)business.industryRisk assessmentbusinessFuzzy logicFinancial servicesDevelopments of Artificial Intelligence Technologies in Computation and Robotics
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Application of Graded Fuzzy Preconcept Lattices in Risk Analysis

2021

Risk analysisMathematical optimizationFuzzy logicMathematicsProceedings of the 13th International Joint Conference on Computational Intelligence
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Risk analysis using fuzzy set theory of accidental exposure of medical staff during brachytherapy procedures

2010

Using fuzzy set theory, this paper presents results from risk analyses that explore potential exposure of medical operators working in a high dose rate brachytherapy irradiation plant. In these analyses, the HEART methodology, a first generation method for human reliability analysis, has been employed to evaluate the probability of human error. This technique has been modified on the basis of fuzzy set concepts to take into account, more directly, the uncertainties of the so-called error-promoting factors on which the method is based. Moreover, with regard to some identified accident scenarios, fuzzy potential dose was also evaluated to estimate the relevant risk. The results also provide s…

Risk analysisaccidental exposureSafety ManagementSettore ING-IND/20 - Misure E Strumentazione Nuclearimedicine.medical_treatmentFuzzy setHuman errorBrachytherapybrachytherapyRadiation DosageFuzzy logicRisk AssessmentRisk analysiRadiation ProtectionFuzzy LogicRadiation MonitoringOccupational ExposureMedicineHumansRadiation InjuriesRadiometryWaste Management and DisposalSettore ING-IND/19 - Impianti NucleariHuman reliabilityMedical Errorsbusiness.industryPublic Health Environmental and Occupational HealthEquipment Failure AnalysisGeneral MedicineEquipment Failure AnalysisRisk analysis (engineering)Radiological weaponbusinessRadioactive Hazard Release
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Modeling risk perception in ATIS context through Fuzzy Logic

2011

Abstract This research is aimed at investigating the effect of accuracy of ATIS (Advanced Traveller Information Systems) in terms of route choices and travellers concordance to informative system. A Stated Preference Experiment has been made by using a Travel Simulator developed at the Technische Universiteit of Delft (The Netherlands). During the experiment respondents have been asked to make repeated route choices in presence of ATIS. Two kinds of information have been tested: descriptive (respondents are provided with the estimated travel times on each route), and prescriptive (respondents are provided with the estimated shortest route). For each kind of information four levels of accura…

Risk perceptionOperations researchComputer scienceConcordanceStated PreferenceContext (language use)Travellers behaviourFuzzy logicFuzzy LogicInformationStatistical analysesATISConcordanceInformation systemGeneral Materials ScienceTravel simulatorAccuracyDrivers route-choiceTravellers' behaviourBehaviorfuzzyUncertaintyPreferenceRoute choiceRisk perceptionTravel behaviorAccuracy ATIS Concordance Fuzzy Logic Risk perception Route choice Stated Preference Travel simulator Travellers' behaviour UncertaintyITSProcedia - Social and Behavioral Sciences
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On the robust design of unknown inputs Takagi-Sugeno observer

2012

This paper deals with the observer design for Takagi-Sugeno (T-S) fuzzy models subject to unknown inputs and disturbance affecting both states and outputs of the system. Sufficient conditions to design an unknown input T-S observer are given in Linear Matrix Inequalities (LMIs) terms. Relaxations are introduced by using intermediate variables. Numerical example is given to illustrate the effectiveness of the given result.

Robust designMathematical optimizationTakagi sugenoObserver (quantum physics)Computer Science::Systems and ControlControl theoryFuzzy setState observerLinear matrixRobust controlFuzzy logicMathematics2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
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Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller

2003

This paper presents the results of the application of a parallel Genetic Algorithm (GA) in order to design a Fuzzy Proportional Integral (FPI) controller for active queue management on Internet routers. The Active Queue Management (AQM) policies are those policies of router queue management that allow the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. Two different parallel implementations of the genetic algorithm are adopted to determine an optimal configuration of the FPI controller parameters. Finally, the results of several experiments carried out on a forty nodes cluster of workst…

RouterSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniQueue management systemComputer sciencebusiness.industryDistributed computingFuzzy control systemActive queue managementFuzzy logicNetwork congestionTCP Actuve Queue Management Genetic algorithms Fuzzy logic AQM TCP congestion controlControl theoryGenetic algorithmbusinessComputer network
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Intelligent Traction Control for Wheeled Space Vehicles

2006

This paper presents the SC-MER, safety control for Mars exploration rover, an innovative traction control scheme for wheeled mobile vehicles. The system is thought to be used on space mission rovers and is based on fuzzy logic and competitive neural networks to achieve optimal navigation on rough terrain with variable morphology. The main goal of this research is to minimize the power consumption needed during the navigation and improve the overall stability and safety of the rover itself

Scheme (programming language)EngineeringTraction control systemArtificial neural networkbusiness.industryControl engineeringMobile robotTerrainFuzzy control systemFuzzy logicbusinessIntelligent controlcomputercomputer.programming_language2005 IEEE Conference on Emerging Technologies and Factory Automation
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