Search results for "Fuzzy Logic."

showing 10 items of 449 documents

Trying to Pose the Main Problem: Measurable Meaning

2022

We have shown the necessity to reconsider the concept of ‘meaning’. In this framework ‘meaning’ should be a situational concept requiring to be bounded by specific definitions rendering it applicable to our needs. Membership functions should as well be seen as ‘measures’ of meaning, which would give them a meaning as well.

Settore MAT/01 - Logica MatematicaFuzzy Logic Commonsense Reasoning
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Introduction

2022

‘Natural Reasoning’, that with which lay people decide their daily actions, also called Ordinary, Everyday, or Commonsense Reasoning, can be seen as ruled by the universal laws defining its formal ‘skeleton’.

Settore MAT/01 - Logica MatematicaFuzzy Logic Commonsense Reasoning
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Examples on the Analysis of Statements Trough Design

2022

The first example concerns the analysis of two statements on which very few things are known, with the goal of establishing which one is truer, and what should be previously known in order to capture their respective meanings.

Settore MAT/01 - Logica MatematicaFuzzy Logic Commonsense Reasoning
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Observer-based finite-time fuzzy H∞ control for discrete-time systems with stochastic jumps and time-delays

2014

This paper is concerned with the problem of observer-based finite-time H ∞ control for a family of discrete-time Markovian jump nonlinear systems with time-delays represented by Takagi-Sugeno (T-S) model. The main contribution of this paper is to design an observer-based finite-time H ∞ controller such that the resulting closed-loop system is stochastic finite-time bounded and satisfies a prescribed H ∞ disturbance attenuation level over the given finite-time interval. Sufficient criteria on stochastic finite-time H ∞ stabilization via observer-based fuzzy state feedback are presented for the solvability of the problem, which can be tackled by a feasibility problem in terms of linear matrix…

Signal processingObserver (quantum physics)Finite-time H∞ controlTakagi-Sugeno (T-S) modelMarkovian jump systemsFuzzy control systemFuzzy logicFinite-time H∞ control; Markovian jump systems; Observer-based control; Takagi-Sugeno (T-S) model; Electrical and Electronic Engineering; Control and Systems Engineering; Software; Signal Processing; 1707Nonlinear systemobserver-based controlTakagi–Sugeno (T–S) modelDiscrete time and continuous timeControl and Systems EngineeringControl theoryBounded functionSignal ProcessingComputer Vision and Pattern RecognitionState observerElectrical and Electronic Engineeringfinite-time H∞ controlfinite-time H infinity controlObserver-based controlSoftware1707Mathematics
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A Fuzzy Approach to the Role of Symmetry in Shape Formation: The Illusion of the Scalene Triangle

2009

The main purposes of this work are to demonstrate the role of directional symmetry as a second order principle that polarizes the perception of the shape and to show how this preference can be easily encoded in an algorithm using a fuzzy operator for symmetry detection. The role of grouping in influencing shape perception and the role of directional symmetry was demonstrated through small triangles that create a large triangle. The specific questions answered in the psychophysical experiments were the following: Can the grouping by similarity influence both the pointing and the shape of the small and the large isosceles triangles? Conversely, can the shape of the large triangle influence th…

Similarity (geometry)Settore INF/01 - InformaticaComputer sciencemedia_common.quotation_subjectIllusionTopologyFuzzy logicSymmetryOperator (computer programming)Isosceles triangleFuzzy setGestalt psychologyPerceptionPerceptSymmetry (geometry)Visual Illusionmedia_common
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Fuzzy filter design for discrete-time delayed systems with distributed probabilistic sensor faults

2013

In this paper, the problem of distributed fuzzy filter design has been solved for T-S fuzzy systems with time-varying delays and multiple probabilistic packet losses. Our attention is paid to designing the distributed fuzzy filters to guarantee the filtering error dynamic system to be mean-square asymptotically stable with an average ℋ∞ performance. Sufficient conditions for the obtained filtering error dynamic system are proposed by applying a comparison model and the scaled small gain theorem. Based on the measurements and estimates of the system states for each sensor and its neighbors, the solution of the parameters of the distributed fuzzy filters is characterized in terms of the feasi…

Small-gain theoremDiscrete time and continuous timeExponential stabilityControl theoryConvex optimizationProbabilistic logicFuzzy numberFuzzy control systemFuzzy logicMathematics2013 American Control Conference
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Contribution of Multi-Agent Systems and Fuzzy logic to support tutors in Learning Communities

2016

The growing importance of online training has put emphasis on the role of remote tutoring. A whole new area of research, dedicated to environment for human learning (EHL), is emerging. We are concerned with this field. More specifically, we will focus on the monitoring of learners.The instrumentation and observation of learners activities by exploiting interaction traces in the EHL and the development of indicators can help tutors to monitor activities of learners and support them in their collaborative learning process. Indeed, in a learning situation, the teacher needs to observe the behavior of learners in order to build an idea about their involvement, preferences and learning styles so…

Social ProfilesPédagogie de projetLogique floueMulti-Agent SystemApprentissage collectifCollaborative LearningAnalyse de texteNaïve bayésienneNaïve BayesFuzzy LogicCSCLProfils sociaux[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Système Multi-Agents[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Acte langageConversation Analysis
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Fuzzy Degree of Geographic Appropriateness for Social Impact Investing

2017

Impact investing is an investment practice that is characterized by the explicit intentionality of attaining a social impact and the requisite of report and measure this impact in a transparent way. The investment decision making process has two main stages. In the first stage, filters are applied regarding four critical issues: target geography, impact theme, asset class and target return category. In this phase, the set of possible investment alternatives are determined based on their appropriateness for impact investment in terms of those four essential aspects. In a second stage, efficient portfolios are obtained taking into account financial criteria (maximizing expected return, minimi…

Soft computing021103 operations researchActuarial science0211 other engineering and technologies02 engineering and technologyInvestment (macroeconomics)Fuzzy logicMicroeconomics0202 electrical engineering electronic engineering information engineeringImpact investingExpected returnPortfolio020201 artificial intelligence & image processingBusinessAsset (economics)Decision-making
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Performance evaluation of fuzzy-neural HTTP request distribution for Web clusters

2006

In this paper we present the performance evaluation of our fuzzy-neural HTTP request distribution algorithm called FNRD, which assigns each incoming request to the server in the Web cluster with the quickest expected response time. The fuzzy mechanism is used to estimate the expected response times. A neural-based feedback loop is used for real-time tuning of response time estimates. To evaluate the system, we have developed a detailed simulation and workload model using CSIM19 package. Our simulations show that FNRD can be more effective than its competitors.

Soft computingArtificial neural networkComputer sciencebusiness.industryResponse timeWorkloadFeedback loopcomputer.software_genreFuzzy logicServerThe InternetArtificial intelligenceData miningbusinesscomputer
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RANKING DECISION MAKING UNITS BY MEANS OF SOFT COMPUTING DEA MODELS

2011

This paper presents a method for ranking a set of decision making units according to their level of efficiency and which takes into account uncertainty in the data. Efficiency is analysed using fuzzy DEA techniques and the ranking is based on the statistical analysis of cases that include representative situations. The method enables the removal of the sometimes unrealistic hypothesis of a perfect trade-off between increased inputs and outputs. This model is compared with other DEA models that work with imprecise or fuzzy data. As an illustration, we apply our ranking method to the evaluation of a group of Spanish seaports, as well as teams playing in the Spanish football league. We compar…

Soft computingComputer sciencebusiness.industryFootballMachine learningcomputer.software_genreFuzzy logicSet (abstract data type)Fuzzy dataRankingArtificial IntelligenceControl and Systems EngineeringStatistical analysisArtificial intelligencebusinesscomputerSoftwareInformation SystemsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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