Search results for "Fuzzy logi"

showing 10 items of 471 documents

Fuzzy Concepts in Small Worlds and the Identification of Leaders in Social Networks

2014

In the study of the Social Networks, the Small World phenomenon appears frequently. We apply some techniques of graph theory and fuzzy sets to characterize the Small World features as well as the existence of the figure of leader in Social Networks. These techniques help to the conceptual formalization in relational networks analysis, by transforming linguistic and human-focused manner concepts related to social networks in some formal representation. These techniques are also applied when the similarity among nodes wants to be measured in order to study the current homophily present in a Network.

Identification (information)Social networkbusiness.industryManagement scienceComputer sciencePhenomenonFuzzy setSimilarity (psychology)Graph theorybusinessFuzzy logicData scienceHomophily
researchProduct

Performance and energy optimisation in CPUs through fuzzy knowledge representation

2019

Abstract This paper presents an automatic design space exploration using processor design knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced with selective load value prediction (SLVP). We introduced new important SLVP parameters and determined their influence regarding performance, energy consumption, and thermal dissipation. We significantly enlarged initial processor design knowledge expressed through fuzzy rules and we analysed its role in the process of automatic design space exploration. The proposed fuzzy rules improve the diversity and quality of solutions, and the convergence speed of the design space exploration process. Experiments show tha…

Information Systems and ManagementComputer scienceDesign space exploration02 engineering and technologyFuzzy logicMulti-objective optimizationTheoretical Computer ScienceProcessor design knowledgeArtificial IntelligenceEnergy savingSuperscalar0202 electrical engineering electronic engineering information engineeringAutomatic design space exploration Processor design knowledge Superscalar microarchitecture Dynamic value prediction Energy savingProcessor design05 social sciencesProcess (computing)050301 educationEnergy consumptionComputer Science ApplicationsMicroarchitectureComputer engineeringControl and Systems EngineeringDynamic value prediction020201 artificial intelligence & image processingAutomatic design space exploration; Processor design knowledge; Superscalar microarchitecture; Dynamic value prediction; Energy savingSuperscalar microarchitecture0503 educationAutomatic design space explorationSoftwareEnergy (signal processing)Information Sciences
researchProduct

Combining fuzzy C-mean and normalized convolution for cloud detection in IR images

2009

An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory. © 2009 Springer Berlin Heidelberg.

Infra-red imagePixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorFuzzy setComputer Science (all)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCloud computingFuzzy logicImage (mathematics)Theoretical Computer ScienceNormalized convolutionComputer Science::Computer Vision and Pattern RecognitionFuzzy setComputer visionCloudiness maskArtificial intelligenceCluster analysisbusinessAstrophysics::Galaxy Astrophysics
researchProduct

Stability Analysis and Stabilization of T-S Fuzzy Delta Operator Systems with Time-Varying Delay via an Input-Output Approach

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/913234 Open Access The stability analysis and stabilization of Takagi-Sugeno (T-S) fuzzy delta operator systems with time-varying delay are investigated via an input-output approach. A model transformation method is employed to approximate the time-varying delay. The original system is transformed into a feedback interconnection form which has a forward subsystem with constant delays and a feedback one with uncertainties. By applying the scaled small gain (SSG) theorem to deal with this new system, and based on a Lyapunov Krasovskii funct…

Input/outputInterconnectionArticle SubjectGeneral MathematicsModel transformationlcsh:MathematicsVDP::Technology: 500General EngineeringStability (learning theory)Delta operatorlcsh:QA1-939Fuzzy logicVDP::Mathematics and natural science: 400::Mathematics: 410Domain (mathematical analysis)Control theorylcsh:TA1-2040Constant (mathematics)lcsh:Engineering (General). Civil engineering (General)computercomputer.programming_languageMathematics
researchProduct

Fuzzy Logic, Knowledge and Natural Language

2012

This is an introductive study on what Fuzzy Logic is, on the difference between Fuzzy Logic and the other many-valued calculi and on the possible relationship between Fuzzy Logic and the complex sciences. Fuzzy Logic is nowadays a very popular logic methodology. Different kinds of applications in cybernetics, in software programming and its growing use in medicine seems to make Fuzzy Logic, according to someone, the “new” logic of science and technology. In his enthusiastic panegyric of Fuzzy Logic, Kosko (1993) argues that after thirty years from the birth of this calculus, it is time to declare the new era of Fuzzy Logic and to forget the old era of classical logic. I think that this poin…

Interpretation (logic)business.industryPhilosophyClassical logicProbabilistic logicVaguenessSettore M-FIL/02 - Logica E Filosofia Della ScienzaFuzzy logicFuzzy Logic Knowledge Natural Language SetTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESOntologyCyberneticsComputingMethodologies_GENERALArtificial intelligencebusinessNatural languageHardware_LOGICDESIGN
researchProduct

Dynamic Analysis of a 7 DOF Robot Using Fuzzy Logic for Inverse Kinematics Problem

2019

Abstract In this paper, a dynamic analysis for a redundant, serial robot, with seven degrees of freedom is presented. The dynamic model of the robot is based on importing a tri-dimensional CAD model of the robot into MATLAB®, Simulink®-Simscape™-SimMechanics™. One can import complete CAD assemblies, including all masses, inertias, joints, constraints, and tri-dimensional geometries, into the model. The first step for executing a dynamic analysis is to resolve the Inverse Kinematics (IK) problem for the redundant robot. Because this type of robot has seven degrees of freedom the IK resolution implies an infinite number of solutions. So, to be able to resolve the IK for this kind of robot a F…

Inverse kinematicsComputer science020206 networking & telecommunications02 engineering and technologyOptimal controlFuzzy logicComputer Science::RoboticsControl theory0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesRobotTorque020201 artificial intelligence & image processingGeneral Environmental ScienceProcedia Computer Science
researchProduct

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering

2015

Nowadays, radiation treatment is beginning to intensively use MRI thanks to its greater ability to discriminate healthy and diseased soft-tissues. Leksell Gamma Knife® is a radio-surgical device, used to treat different brain lesions, which are often inaccessible for conventional surgery, such as benign or malignant tumors. Currently, the target to be treated with radiation therapy is contoured with slice-by-slice manual segmentation on MR datasets. This approach makes the segmentation procedure time consuming and operator-dependent. The repeatability of the tumor boundary delineation may be ensured only by using automatic or semiautomatic methods, supporting clinicians in the treatment pla…

Jaccard indexSimilarity (geometry)Computer scienceScale-space segmentationFuzzy logicunsupervised clusteringmagnetic resonance imagingSegmentationComputer visionmagnetic resonance imag- ingElectrical and Electronic EngineeringCluster analysisRadiation treatment planningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbrain tumors; Gamma Knife treatment planning; magnetic resonance imaging; semi-automatic segmentation; unsupervised clusteringbusiness.industrybrain tumors Gamma Knife treatment planning magnetic resonance imaging semi-automatic segmentation unsupervised clusteringElectronic Optical and Magnetic Materialsbrain tumorsComputer Vision and Pattern RecognitionArtificial intelligencebusinesssemi-automatic segmentationSoftwarebrain tumorGamma Knife treatment planning
researchProduct

Combined fuzzy TOPSIS and AHP-based methodology for the prioritization of maintenance key performance indicators: Application to an oil refinery plant

2017

A Maintenance Performance Measurement model based on the use of Maintenance Key Performance Indicators (MKPIs) is proposed in the present paper. Referring to a specific industrial context, a multi-level hierarchical structure is firstly designed to highlight the most meaningful perspectives which affect the maintenance performance. Then, MKPIs selected from the literature or properly formulated to detail some particular perspective of the investigated maintenance process are assigned to the hierarchical framework and prioritized by a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) and Analytic Hierarchy Process (AHP)-based approach.

Keywords-maintenance key performance indicator0209 industrial biotechnologyOperations researchAHPComputer scienceProcess (engineering)Analytic hierarchy processContext (language use)prioritization02 engineering and technologyIdeal solutionMaintenance engineeringFuzzy logicfuzzy TOPSIS020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPerformance measurementPerformance indicator2017 2nd International Conference on System Reliability and Safety (ICSRS)
researchProduct

A fuzzy ServQual based method for reliable measurements of education quality in Italian higher education area

2013

In recent years, the attention that the European Community has focused on the education sector has produced a new university commitment addressed to quality aspects for all education related services. In fact, a quality oriented service requires excellence in the design and planning of service activities, as well as during its delivering and also for the adopted service performance evaluation method. However, considering that service performance evaluations are deeply based on stakeholders' judgments, they can be characterized by possible uncertainties related to incompleteness for partial ignorance, imprecision for subjectivity and even vagueness. Therefore, under these conditions, unrelia…

Knowledge managementOperations researchEuropean communityAHPComputer sciencemedia_common.quotation_subjectFuzzy setAnalytic hierarchy processFuzzy logicSERVQUALArtificial IntelligenceExcellenceQuality (business)ServQualSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneStudent satisfactionmedia_commonService (business)Service qualitybusiness.industryEducation services performanceGeneral EngineeringService level objectiveComputer Science ApplicationsFuzzy Sets TheoryManagement engineeringbusinessStrategic analysisExpert Systems with Applications
researchProduct

A fuzzy methodology to alleviate information overload in elearning

2013

Some aspects of eLearning experience can be en- hanced in a very natural way by using the basic tools offered by fuzzy logic. As a matter of exam- ple, consider the uncontrolled growth of informa- tion produced in a collaborative-oriented context, in which each participant (e.g. students, teachers) is able to insert and share new contents (e.g. com- ments, texts) concerning a university course. All the incrementally added pieces of information can be evaluated in several ways: by the intervention of a “dictator” (e.g. the teacher), using a rating form, or even according to the frequency of access. As contents rapidly become unusable for the effects of information overload, basic tools of fu…

Knowledge managementSettore INF/01 - Informaticabusiness.industryComputer scienceinfo overloadContext (language use)Fuzzy logicInformation overloadIntervention (law)Human–computer interactionDictatoreLearningNatural (music)eLearning info overload FuzzinessSeven Basic Tools of QualitybusinessFuzziness
researchProduct