Search results for " computing"

showing 10 items of 2075 documents

Time Up for Phishing with Effective Anti-Phishing Research Strategies

2015

Public awareness is a significant factor in the battle against online identity theft (phishing). Advancing public readiness can be a strategic protection mechanism for citizens' vulnerability and privacy. Further, an effective research strategy against phishing is the combination of increased social awareness with software quality and social computing. The latter will decrease phishing victims and will improve information systems quality. First, the authors discuss recent research results on software quality criteria used for the design of anti-phishing technologies. Second, it is argued that the dynamics of social surroundings affect citizens' trust and can compromise social security. Thir…

Social computingbusiness.industryManagement of Technology and InnovationComputer Science (miscellaneous)Information systemSocial consciousnessOnline identityBusinessPublic relationsPhishingSoftware qualityVulnerability (computing)Protection mechanismInternational Journal of Human Capital and Information Technology Professionals
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Implementing cloud ERP solutions: a review of sociotechnical concerns

2018

Abstract Cloud ERP solutions allow organizations of all sizes to support and coordinate key business processes by leveraging virtualization. Nevertheless, the implementation of cloud ERPs is not straightforward and there are significant issues that need to be taken into account when launching cloud ERP initiatives. To explore these issues, we conducted an in-depth systematic review of related research literature. We identified six key issues related to cloud ERP implementation: a) functionality fit, b) integration, c) data migration, d) organizational change, e) data security, and f) reliability. Furthermore, we mapped these issues to the different sizes of organizations. Based on this revi…

Sociotechnical systemProcess managementBusiness processbusiness.industryComputer science05 social sciencesData securityCloud computing02 engineering and technologyVirtualizationcomputer.software_genreEmpirical research020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciencesbusinesscomputer050203 business & managementData migrationGeneral Environmental ScienceProcedia Computer Science
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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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Regional models based on Multi-Gene Genetic Programming for the simulation of monthly runoff series

2022

Accurate estimates of runoff in river basins are useful for several applications. The use of data-driven procedures for simulating the complex runoff generation process is a promising frontier that could allow for overcoming some typical problems related to more complex traditional approaches. This study explores soft computing based regional models for the reconstruction of monthly runoff in river basins. The region under analysis is the Sicily (Italy), where a regressive rainfall-runoff model, here used as benchmark model, was previously built using data from almost a hundred gauged watersheds across the region. This previous model predicts monthly river runoff based on a unique regional,…

Soft computingArtificial Neural NetworkRegional ModelRainfall-RunoffSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGenetic ProgrammingProceedings of the 39th IAHR World Congress
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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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A Memetic Island Model for Discrete Tomography Reconstruction

2011

Soft computing is a term indicating a coalition of methodologies, and its basic dogma is that, in general, better results can be obtained through the use of constituent methodologies in combination, rather than in a stand alone mode. Evolutionary computing belongs to this coalition, and thus memetic algorithms. Here, we present a combination of several instances of a recently proposed memetic algorithm for discrete tomography reconstruction, based on the island model parallel implementation. The combination is motivated by the fact that, even though the results of the recently proposed approach are finally better and more robust compared to other approaches, we advised that its major drawba…

Soft computingCorrectnessSettore INF/01 - InformaticaComputer sciencebusiness.industryEvolutionary algorithmEvolutionary computationTerm (time)Genetic algorithmMemetic algorithmArtificial intelligencebusinessDiscrete tomographyMemetic algorithm Evolutionary algorithm Discrete tomography Distributed evolutionary algorithm
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SIOPRED performance in a Forecasting Blind Competition

2012

In this paper we present the results obtained by applying our automatic forecasting support system, named SIOPRED, over a data set of time series in a Forecasting Blind Competition. In order to apply our procedure for providing point forecasts it has been necessary to develop an interactive strategy for the choice of the suitable length of the seasonal cycle and the seasonality form for a generalized exponential smoothing method, which have been obtained using SIOPRED. For the choice of those essential characteristics of forecasting methods, also a certain multi-objective formulation which minimizes several measures of fitting is used. Once these specifications are established, the model pa…

Soft computingData setCompetition (economics)Mathematical optimizationSeries (mathematics)Computer scienceExponential smoothingPoint (geometry)Physics::Atmospheric and Oceanic PhysicsSmoothingNonlinear programming2012 IEEE Conference on Evolving and Adaptive Intelligent Systems
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Soft computing-based aggregation methods for human resource management

2008

Abstract We are interested in the personnel selection problem. We have developed a flexible decision support system to help managers in their decision-making functions. This DSS simulates experts’ evaluations using ordered weighted average (OWA) aggregation operators, which assign different weights to different selection criteria. Moreover, we show an aggregation model based on efficiency analysis to put the candidates into an order.

Soft computingDecision support systemInformation Systems and ManagementGeneral Computer ScienceFuzzy setStaff managementPersonnel selectionManagement Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringWeightingComplete informationModeling and SimulationData miningcomputerSelection (genetic algorithm)MathematicsEuropean Journal of Operational Research
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Fuzzy Linear Programming in Practice: An Application to the Spanish Football League

2010

FLP problems are perhaps one of the most and best studied topics of Soft Computing, and are among the most fruitful in applications and in theoretical and practical results. Areas of application of FLP problems are many and varied and in fact suppose an extraordinary example of technology transfer in action. In this paper, Fuzzy Linear Programming models are applied to the European football game in which the inherent uncertainty of the parameters relating to the football teams in the Spanish Football League serve to establish these models and so optimize the returns of the investments made to maintain a high quality competition. In this context, fuzzy DEA models are established which provid…

Soft computingEngineeringOperations researchbusiness.industryData envelopment analysisFuzzy numberOperations managementContext (language use)FootballLeaguebusinessFuzzy logicMembership function
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