Search results for " Fuzzy logic"

showing 10 items of 38 documents

Weakly algebraizable logics

2000

AbstractIn the paper we study the class of weakly algebraizable logics, characterized by the monotonicity and injectivity of the Leibniz operator on the theories of the logic. This class forms a new level in the non-linear hierarchy of protoalgebraic logics.

AlgebraPhilosophyClass (set theory)HierarchyLogicLeibniz operatorMonotonic functionT-norm fuzzy logicsMathematicsJournal of Symbolic Logic
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Control of the Biodegradation of Mixed Wastes in a Continuous Bioreactor by a Type-2 Fuzzy Logic Controller

2009

Abstract Type-2 fuzzy logic control is proposed for nonlinear processes characterized by bifurcations. A control simulation study was conducted for a bioreactor with cell recycle containing phenol and glucose as carbon and energy sources in which a pure culture of Pseudomonas putida is carried out. The model developed by Ajbar [Ajbar, A. (2001). Stability analysis of the biodegradation of mixed wastes in a continuous bioreactor with cell recycle. Water Research, 35 (5), 1201–1208] was used for the simulations. The particular dynamics of the bioreactor, characterized by two saddle-node bifurcations, makes its control difficult, since it may become unstable also for small variations of some p…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimicibusiness.industryGeneral Chemical EngineeringOpen-loop controllerPID controllerControl engineeringFuzzy control systemFuzzy logicComputer Science ApplicationsNonlinear systemBifurcation Bioreactor control Stability Type-2 fuzzy logic controllerControl theoryRobustness (computer science)Energy sourcebusiness
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Inter-firm relationship design for achieving supply network responsiveness

2008

Supply chain strategy transaction cost economics resource based view fuzzy logicSettore ING-IND/35 - Ingegneria Economico-Gestionale
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Type-2 fuzzy control of a fed-batch fermentation reactor

2010

Abstract The aim of the paper is to present the application of type-2 fuzzy logic controllers (T2FLCs) to the control of a fed-batch fermentation reactor in which the penicillin production is carried out. The performance of the control system using T2FLCs is compared by simulation with that of a control system using type-1 fuzzy logic controllers (T1FLCs). The non linear model used for the simulation study is an unstructured model characterized by the presence of non linearities, parameter uncertainty and measurement noise. Simulation results confirm the robustness of the T2FLC which shows a better performance than its type-1 counterpart particularly when uncertainties are present in the co…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciBatch fermentationbusiness.industryNon linear modelControl engineeringFuzzy control systemType (model theory)Fuzzy logicNoiseControl theoryRobustness (computer science)Control systemtype-2 fuzzy logic controller uncertainties non linear system fed batch fermentation reactorbusiness
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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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Traffic management and user perception: an analysis of Variable Message Signs using Fuzzy Logic

2009

Variable message signs have today become an indispensable tool for managing traffic in urban and suburban areas, such as sending real-time information to motorists in transit along roads where panels are positioned. The study draws on drivers’ response to a series of interviews conducted in the city of Brescia. The interviews showed that a large proportion of drivers does not read the messages, and indeed very often does not even remember having seeing the sign. The marginal usefulness of these facilities can probably be attributed to the fact that the panels are constantly used to display messages devoid of immediate interest (eg, greetings, penalties for traffic violations, general inform…

Variable Message Signs Fuzzy Logic
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Quantum Finite Automata and Logics

2006

The connection between measure once quantum finite automata (MO-QFA) and logic is studied in this paper. The language class recognized by MO-QFA is compared to languages described by the first order logics and modular logics. And the equivalence between languages accepted by MO-QFA and languages described by formulas using Lindstrom quantifier is shown.

Discrete mathematicsLindström quantifierNested wordAbstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Computer Science::Computational ComplexityComputer Science::Digital LibrariesAlgebraTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESMonoidal t-norm logicComputer Science::Programming LanguagesQuantum finite automataEquivalence (formal languages)T-norm fuzzy logicsComputer Science::Formal Languages and Automata TheoryAND gateMathematics
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Adaptive type-2 fuzzy logic control of a bioreactor

2010

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI cont…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemEngineeringAdaptive controlNeuro-fuzzybusiness.industryApplied MathematicsGeneral Chemical EngineeringNonlinear dynamicBioreactorAdaptive controlPID controllerControl engineeringGeneral ChemistryFuzzy control systemFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringType-2 fuzzy logic controlControl theoryProcess controlbusinessStabilityProcess control; Adaptive control; Type-2 fuzzy logic control; Stability; Nonlinear dynamics; BioreactorChemical Engineering Science
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A Fuzzy Logic C-Means Clustering Algorithm to Enhance Microcalcifications Clusters in Digital Mammograms

2011

The detection of microcalcifications is a hard task, since they are quite small and often poorly contrasted against the background of images. The Computer Aided Detection (CAD) systems could be very useful for breast cancer control. In this paper, we report a method to enhance microcalcifications cluster in digital mammograms. A Fuzzy Logic clustering algorithm with a set of features is used for clustering microcalcifications. The method described was tested on simulated clusters of microcalcifications, so that the location of the cluster within the breast and the exact number of microcalcifications is known.

C-meanCOMPUTER-AIDED DETECTIONComputer scienceCADFuzzy logicSet (abstract data type)Cluster (physics)medicineMammographycancerComputer visionCLASSIFICATION.Cluster analysisbreastmedicine.diagnostic_testbusiness.industryPattern recognitionImage enhancementComputer aided detectionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)microcalcificationComputingMethodologies_PATTERNRECOGNITIONbreast; cancer; microcalcifications; clustering; fuzzy logic; C-means; COMPUTER-AIDED DETECTION; CLASSIFICATION.Artificial intelligencefuzzy logicbusinessclustering
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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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