Search results for "Fuzzy logi"

showing 10 items of 471 documents

A fuzzy framework to evaluate service quality in the healthcare industry: An empirical case of public hospital service evaluation in Sicily

2016

A novel fuzzy framework is considered to analyze healthcare service quality.The fundamental quality structure of healthcare service delivered in Sicily is described.The public healthcare in Sicily (Italy) is strategically analyzed.Strategic stakeholders' oriented implications for healthcare improvements are given. A novel fuzzy evaluation framework is applied in this study to evaluate service quality in the public healthcare sector. In particular, the proposed framework is based on the ServQual disconfirmation paradigm and incorporates the Analytic Hierarchy Process (AHP) method to elicit reliable estimations of service quality expectations. Moreover, degrees of uncertainty, subjectivity an…

Knowledge managementpatient satisfactionAHPComputer sciencemedia_common.quotation_subjecthealthcare service qualityAnalytic hierarchy process02 engineering and technologyFuzzy logicSERVQUALPatient satisfaction0502 economics and businessHealth care0202 electrical engineering electronic engineering information engineeringFuzzy numberQuality (business)ServQualSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionestakeholders’ uncertaintymedia_commonService (business)Service qualitybusiness.industryService design05 social sciences020201 artificial intelligence & image processingfuzzy sets theorybusiness050203 business & managementSoftwareApplied Soft Computing
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Fuzzifying topology induced by a strong fuzzy metric

2016

A construction of a fuzzifying topology induced by a strong fuzzy metric is presented. Properties of this fuzzifying topology, in particular, its convergence structure are studied. Our special interest is in the study of the relations between products of fuzzy metrics and the products of the induced fuzzifying topologies.

Logic010102 general mathematicsStructure (category theory)02 engineering and technologyTopologyNetwork topology01 natural sciencesFuzzy logicArtificial IntelligenceMetric (mathematics)Convergence (routing)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0101 mathematicsTopology (chemistry)MathematicsFuzzy Sets and Systems
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Probabilistic and fuzzy logic in clinical diagnosis

2007

In this study I have compared classic and fuzzy logic and their usefulness in clinical diagnosis. The theory of probability is often considered a device to protect the classical two-valued logic from the evidence of its inadequacy to understand and show the complexity of world [1]. This can be true, but it is not possible to discard the theory of probability. I will argue that the problems and the application fields of the theory of probability are very different from those of fuzzy logic. After the introduction on the theoretical bases of fuzzy approach to logic, I have reported some diagnostic argumentations employing fuzzy logic. The state of normality and the state of disease often figh…

Logicbusiness.industrymedia_common.quotation_subjectfungiProbabilistic logicProbability TheoryFuzzy logichumanitiesProbabilistic logic Fuzzy logic truth diagnosisFuzzy Logicstomatognathic systemProbabilistic logic networkClinical diagnosisDiagnosisEmergency MedicineInternal MedicineHumansMedicineArtificial intelligenceClinical MedicinebusinessMembership functionNormalitymedia_commonInternal and Emergency Medicine
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A construction of a fuzzy topology from a strong fuzzy metric

2016

<p>After the inception of the concept of a fuzzy metric by I. Kramosil and J. Michalek, and especially after its revision by A. George and G. Veeramani, the attention of many researches was attracted to the topology induced by a fuzzy metric. In most of the works devoted to this subject the resulting topology is an ordinary, that is a crisp one. Recently some researchers showed interest in the fuzzy-type topologies induced by fuzzy metrics. In particular, in the paper  (J.J. Mi\~{n}ana, A. \v{S}ostak, {\it Fuzzifying topology induced by a strong fuzzy metric}, Fuzzy Sets and Systems,  6938 DOI information: 10.1016/j.fss.2015.11.005.) a fuzzifying topology ${\mathcal T}:2^X \to [0,1]$ …

Lowen $\omega$-functorFuzzy setfuzzy topology02 engineering and technologyFuzzy subalgebralcsh:AnalysisNetwork topology01 natural sciencesFuzzy logicCombinatorics0202 electrical engineering electronic engineering information engineeringFuzzifying topology0101 mathematicsTopology (chemistry)Lowen $\omega$-functor.MathematicsDiscrete mathematicsFuzzy topologylcsh:Mathematics010102 general mathematicsfuzzifying topologylower semicontinuous functionslcsh:QA299.6-433Fuzzy metricFuzzy pseudo metriclcsh:QA1-939Fuzzy topologyLower semicontinuous functionsFuzzy mathematicsMetric (mathematics)fuzzy metric020201 artificial intelligence & image processingGeometry and TopologyApplied General Topology
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Finite-Time H∞ Filtering for T-S Fuzzy Discrete-Time Systems with Time-Varying Delay and Norm-Bounded Uncertainties

2015

In this paper, we investigate the filtering problem of discrete-time Takagi–Sugeno (T–S) fuzzy uncertain systems subject to time-varying delays. A reduced-order filter is designed. With the augmentation technique, a filtering error system with delayed states is obtained. In order to deal with time delays in system states, the filtering error system is first transformed into two interconnected subsystems. By using a two-term approximation for the time-varying delay, sufficient delay-dependent conditions of finite-time boundedness and $H_{\infty }$ performance of the filtering error system are derived with the Lyapunov function. Based on these conditions, the filter design methods are propose…

Lyapunov function0209 industrial biotechnology02 engineering and technologyFuzzy logicsymbols.namesake020901 industrial engineering & automationControl theoryArtificial Intelligence0202 electrical engineering electronic engineering information engineeringFiltering problemnorm-bounded uncertaintieslinear matrix inequalities (LMIs)T-S fuzzy systemMathematicsApplied MathematicsFilter (signal processing)Finite-time boundednesstime delayFilter designH-infinity methods in control theoryDiscrete time and continuous timeComputational Theory and MathematicsControl and Systems EngineeringBounded functionsymbols020201 artificial intelligence & image processingHâ filteringFinite-time boundedness; H∞ filtering; linear matrix inequalities (LMIs); norm-bounded uncertainties; T-S fuzzy system; time delay; Control and Systems Engineering; Computational Theory and Mathematics; Artificial Intelligence; Applied Mathematics
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On stability and stabilization of singular uncertain Takagi-Sugeno fuzzy systems

2014

This paper deals with the problem of robust stability and robust stabilization for a class of continuous-time singular Takagi-Sugeno fuzzy systems. Sufficient conditions on stability and stabilization are proposed in terms of strict LMI (Linear Matrix Inequality) for uncertain T-S fuzzy models. In order to reduce the conservatism of results developed using quadratic method, an approach based on non-quadratic Lyapunov functions and S-procedure is proposed. Illustrative examples are given to show the effectiveness of the given results Refereed/Peer-reviewed

Lyapunov functionComputer Networks and CommunicationsApplied MathematicsMathematicsofComputing_NUMERICALANALYSISStability (learning theory)Linear matrix inequalityrobust stabilityFuzzy control systemControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFuzzy logicstabilizationsymbols.namesakeQuadratic equationTakagi sugenoControl and Systems EngineeringControl theoryComputer Science::Systems and ControlSignal ProcessingsymbolsTakagi-Sugeno fuzzy systemsMathematics
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Fuzzy/Kalman Hierarchical Horizontal Motion Control of Underactuated ROVs.

2010

A new closed loop fuzzy motion control system including on-line Kalman's filter (KF) for the two dimensional motion of underactuated and underwater Remotely Operated Vehicle (ROV) is presented. Since the sway force is unactuated, new continuous and discrete time models are developed using a polar transformation. A new hierarchical control architecture is developed, where the high level fuzzy guidance controller generates the surge speed and the yaw rate needed to achieve the objective of planar motion, while the low level controller gives the thruster surge force and the yaw torque control signals. The Fuzzy controller ensures robustness with respect to uncertainties due to the marine envi…

Lyapunov functionComputer sciencelcsh:TK7800-8360Remotely operated underwater vehicleFuzzy/Kalman Hierarchical Motion Control Underactuated ROVFuzzy logiclcsh:QA75.5-76.95Computer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaArtificial IntelligenceRobustness (computer science)Control theoryInertial measurement unitTorqueUnderactuationlcsh:ElectronicsYawKalman filterFuzzy control systemMotion controlComputer Science ApplicationsControl systemsymbolslcsh:Electronic computers. Computer scienceSoftware
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Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

2008

This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov’s stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees lo…

Lyapunov functionEngineeringAdaptive controlbusiness.industryControl engineeringBody movementFuzzy control systemMotion controlAutomated Vehicles Cooperation Fuzzy Control Lyapunov's stability Motion control passengers comfortFuzzy logicComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaFuzzy Control motion control ground vehicles passenger comfortControl and Systems EngineeringControl theoryTrajectorysymbolsElectrical and Electronic EngineeringDecentralized planningbusinessAutomatica
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Hierarchical fuzzy/Lyapunov control for horizontal plane trajectory tracking of underactuated AUV

2010

A new hierarchical closed loop fuzzy control system for horizontal plane trajectory tracking of underactuated Autonomous Underwater Vehicles (AUV) is presented. A model for the AUV is formulated introducing a polar coordinates transformation for the velocities in the body fixed frame. It is employed to control the unactuated sway direction, the longitudinal position and the yaw by using the surge force and the yaw torque only. The highest level control is developed by employing a fuzzy inference system for obtaining the guidance control laws. The properties of the fuzzy system ensure forward surge velocity, fast convergence and Lyapunov's stability of the motion errors. A new low level kine…

Lyapunov functionEngineeringfuzzy/Lyapunov horizontal plane trajectory tracking underactuated AUVUnderactuationbusiness.industryControl engineeringFuzzy control systemFuzzy logicComputer Science::RoboticsVehicle dynamicssymbols.namesakeSettore ING-INF/04 - AutomaticaControl theorysymbolsTrajectoryTorquebusiness2010 IEEE International Symposium on Industrial Electronics
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A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints

2005

Abstract In this paper a novel algorithm with a dynamic fuzzy controller applied to the control of trajectory of vehicles with two independent wheels is proposed. An automatic control of trajectory of a vehicle can behave in a not efficient way. It is necessary to consider the friction of the actuators and possible perturbations coming from the outside environment, as for instance the variable characteristics of the ground where the vehicle moves. These perturbations, which depend also on the contact between the wheel and the ground, involve violations of nonholonomic constraints. Thus it is necessary to compensate for these perturbations to obtain a robust control system. The controller sy…

Lyapunov functionMathematical optimizationAdaptive controlAutomatic controlComputer scienceGeneral MathematicsFuzzy logicComputer Science::Roboticssymbols.namesakeExponential stabilityControl theoryNonholonomic systemAdaptive neuro fuzzy inference systembackstepping controlautonomous vehicleFuzzy control systemComputer Science Applicationsnonholonomic systemFuzzy controllerControl and Systems EngineeringBacksteppingsymbolsTrajectoryRobust controlActuatorrobust controlSoftwareRobotics and Autonomous Systems
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