Search results for "Fuzzy logi"

showing 10 items of 471 documents

Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding.

2019

A novel spherical truncation method, based on fuzzy membership functions, is introduced to truncate interatomic (or interaminoacid) relations according to smoothing values computed from fuzzy membership degrees. In this method, the molecules are circumscribed into a sphere, so that the geometric centers of the molecules are the centers of the spheres. The fuzzy membership degree of each atom (or aminoacid) is computed from its distance with respect to the geometric center of the molecule, by using a fuzzy membership function. So, the smoothing value to be applied in the truncation of a relation (or interaction) is computed by averaging the fuzzy membership degrees of the atoms (or aminoacid…

010304 chemical physicsRelation (database)TruncationGeneral Chemistry010402 general chemistry01 natural sciencesFuzzy logic0104 chemical sciencesSet (abstract data type)Computational MathematicsEncoding (memory)Molecular descriptor0103 physical sciencesPrincipal component analysisAlgorithmSmoothingMathematicsJournal of computational chemistry
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Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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OMICfpp: a fuzzy approach for paired RNA-Seq counts

2019

© The Author(s) 2019.

0106 biological scienceslcsh:QH426-470Pipeline (computing)lcsh:BiotechnologyRNA-SeqBinomial testSample (statistics)Biologyoncología médicaMedical Oncology01 natural sciencesFuzzy logicSet (abstract data type)03 medical and health sciencesUser-Computer InterfaceSoftwarelcsh:TP248.13-248.65GeneticsHumansCàncer030304 developmental biologyOrdered weight average0303 health sciencesbusiness.industrySequence Analysis RNAMethodology ArticleHigh-Throughput Nucleotide SequencingPattern recognitionColorectal cancerlcsh:Genetics3201.01 OncologíatranscriptomaRandomization distributionRNAArtificial intelligenceDNA microarraybusinessColorectal NeoplasmsTranscriptome010606 plant biology & botanyBiotechnology
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Modified F-transform Based on B-splines

2018

The aim of this paper is to improve the F-transform technique based on B-splines. A modification of the F-transform of higher degree with respect to fuzzy partitions based on B-splines is done to extend the good approximation properties from the interval where the Ruspini condition is fulfilled to the whole interval under consideration. The effect of the proposed modification is characterized theoretically and illustrated numerically.

0209 industrial biotechnology020901 industrial engineering & automationDegree (graph theory)Approximation error0202 electrical engineering electronic engineering information engineeringExtrapolationApplied mathematicsInterval (graph theory)020201 artificial intelligence & image processing02 engineering and technologyFuzzy logicMathematics
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Improving stock index forecasts by using a new weighted fuzzy-trend time series method

2017

Define a new technical indicator for measuring the trend of the fuzzy time series.Introduce a new weighted fuzzy-trend time series method to forecast stock indices.Compare ex-post performances of weighted FTS methods using stock market indices.Assess statistical significance of ex-post forecast accuracy for weighted FTS methods. We propose using new weighted operators in fuzzy time series to forecast the future performance of stock market indices. Based on the chronological sequence of weights associated with the original fuzzy logical relationships, we define both chronological-order and trend-order weights, and incorporate our proposals for the ex-post forecast into the classical modeling…

0209 industrial biotechnologyActuarial scienceComputer scienceGeneral Engineering02 engineering and technologyExpected valueFuzzy logicStock market indexComputer Science ApplicationsTrend analysis020901 industrial engineering & automationArtificial IntelligenceTechnical indicator0202 electrical engineering electronic engineering information engineeringEconometricsFuzzy number020201 artificial intelligence & image processingStock marketStock (geology)Expert Systems with Applications
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Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing

2018

Abstract Cloud-based design and manufacturing (CBDM) can presumably stimulate greater intelligence in cloud-based models. This paper assumes that cloud-based design for cellular manufacturing can be referred to as a multiscale, uncertain, and dynamic service-oriented network where a set of CAD parts, modelled by set of features, can be manufactured in intelligent virtual manufacturing cells under certain constraints. Using the concepts of the holon and the attractor, integrating the uncertainty in the modelling of part design and part–manufacturing network, an approach to address intelligent virtual manufacturing cell formation in CBDM is proposed. The powerful role of the CAD features is e…

0209 industrial biotechnologyCloud-based design and manufacturingComputer scienceHolon (philosophy)business.industryCellular manufacturingDistributed computingCloud computing02 engineering and technologycomputer.software_genreFuzzy logic[SHS]Humanities and Social SciencesIntelligent agent020901 industrial engineering & automationArtificial IntelligenceControl and Systems Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringCloud manufacturingManufacturing cellbusinesscomputerComputingMilieux_MISCELLANEOUSEngineering Applications of Artificial Intelligence
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Using the Analytic Hierarchy Process (AHP) and fuzzy logic to evaluate the possibility of introducing single point incremental forming on industrial …

2018

Abstract Single point incremental forming (SPIF) is a promising forming process, yet not entirely accepted and implemented on industrial scale, due to several reasons, presented in the paper. The approach presented here develops an evaluation method for the degree of its industrial implementation. Several factors which will favor the industrial implementation of ASPIF are identified and their weights are hierarchized by means of AHP. To assess the robustness of the AHP, a sensitivity analysis was also presented. Furthermore, a fuzzy inference system was built, having as output the degree of industrial implementation of SPIF.

0209 industrial biotechnologyComputer scienceIndustrial scaleForming processesAnalytic hierarchy process02 engineering and technologyFuzzy logicIndustrial engineering020901 industrial engineering & automationRobustness (computer science)0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingSensitivity (control systems)Single pointGeneral Environmental ScienceProcedia Computer Science
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A robust two-feedback loops position control algorithm for compliant low-cost series elastic actuators

2019

Elastic joints are considered to outperform rigid joints in terms of peak dynamics, collision tolerance, robustness, and energy efficiency. Therefore, intrinsically elastic joints have become progressively prominent over the last years for a variety of robotic applications. In this article, a two-feedback loops position control algorithm is proposed for an elastic actuator to deal with the influence from external disturbances. The considered elastic actuator was recently designed by our research group for Serpens, a low-cost, open-source and highly-compliant multi-purpose modular snake robot. In particular, the inner controller loop is implemented as a model reference adaptive controller (M…

0209 industrial biotechnologyComputer sciencebusiness.industry020208 electrical & electronic engineering02 engineering and technologyModular designFuzzy logicVDP::Teknologi: 500020901 industrial engineering & automationRobustness (computer science)Control theoryControl system0202 electrical engineering electronic engineering information engineeringTorqueRobotActuatorbusinessAlgorithm
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Using the Analytic Hierarchy Process (AHP) in Evaluating the Decision of Moving to a Manufacturing Process Based Upon Continuous 5 Axes CNC Machine-t…

2016

Abstract This paper represents the second part of the work described in the paper with the title “Decision-making tool for moving from 3-axes to 5-axes CNC machine-tool”. The problem of using either 3 axes CNC machine-tools or 5 axes CNC machine tools was presented in the first part, together with a fuzzy logic based decision support tool. This time, an AHP approach is used in order to evaluate the decision of moving to a manufacturing process based upon 5 axes machine tools. Three variants were taken into consideration and analysed. The consistency of the proposed approach was evaluated and a sensitivity analysis was also introduced.

0209 industrial biotechnologyDecision support system5 axesbusiness.product_categoryComputer scienceAnalytic hierarchy processcosts02 engineering and technologyFuzzy logicanalytic hierarchy processevaluationConsistency (database systems)020901 industrial engineering & automationMachiningCNC machine-tool0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)General Environmental ScienceaccuracyIndustrial engineeringMachine tool3 axesNumerical controlGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinessmachiningProcedia Computer Science
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Finite-time stability and stabilisation for a class of nonlinear systems with time-varying delay

2014

This paper is concerned with the problems of finite-time stability FTS and finite-time stabilisation for a class of nonlinear systems with time-varying delay, which can be represented by Takagi–Sugeno fuzzy system. Some new delay-dependent FTS conditions are provided and applied to the design problem of finite-time fuzzy controllers. First, based on an integral inequality and a fuzzy Lyapunov–Krasovskii functional, a delay-dependent FTS criterion is proposed for open-loop fuzzy system by introducing some free fuzzy weighting matrices, which are less conservative than other existing ones. Then, the parallel distributed compensation controller is designed to ensure FTS of the time-delay fuzzy…

0209 industrial biotechnologyEngineeringfinite-time stabilisation; finite-time stability; fuzzy control; nonlinear system; time-delay system; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionStability (learning theory)fuzzy controltime-delay system02 engineering and technologynonlinear systemFuzzy logicCompensation (engineering)Theoretical Computer Science020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringfinite-time stabilisationfinite-time stabilityAdaptive neuro fuzzy inference systembusiness.industryComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy control systemComputer Science ApplicationsWeightingNonlinear systemControl and Systems Engineering020201 artificial intelligence & image processingbusiness
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