Search results for " Decision making"

showing 10 items of 183 documents

The Italian Version of the Career Factors Inventory

2015

This study attempted to examine the validity of the Italian version of the Career Factors Inventory (CFI), a psychometric tool widely used in the assessment of cognitive and personal–emotional dimensions of career indecision, among a sample of 2,060 Italian students attending high school and university. Recurring to both exploratory and confirmatory factor analyses, the original four-factor structure was confirmed and returned, in line with the literature, satisfactory reliability indices; moreover, CFI subscales showed intercorrelations consistent with previous studies, albeit lower in some cases. Subsequently, convergent validity between the four CFI subscales and other scales via zero-o…

Organizational Behavior and Human Resource Managementeducation05 social sciencesCareer indecisionCognition050106 general psychology & cognitive sciencesConvergent validity0502 economics and businessmedicineSettore M-PSI/06 - Psicologia Del Lavoro E Delle OrganizzazioniAnxiety0501 psychology and cognitive sciencesmedicine.symptomPsychologycareer factors inventory career indecision career decision making indecisiveness anxiety career counseling vocational guidance050203 business & managementGeneral PsychologyApplied PsychologyCareer counselingReliability (statistics)Clinical psychologyJournal of Career Assessment
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A solution process for simulation-based multiobjective design optimization with an application in the paper industry

2014

In this paper, we address some computational challenges arising in complex simulation-based design optimization problems. High computational cost, black-box formulation and stochasticity are some of the challenges related to optimization of design problems involving the simulation of complex mathematical models. Solving becomes even more challenging in case of multiple conflicting objectives that must be optimized simultaneously. In such cases, application of multiobjective optimization methods is necessary in order to gain an understanding of which design offers the best possible trade-off. We apply a three-stage solution process to meet the challenges mentioned above. As our case study, w…

Pareto optimalityEngineeringMathematical optimizationIntegrated designOptimization problemMathematical modelbusiness.industrymedia_common.quotation_subjectControl (management)ta111Computer Graphics and Computer-Aided DesignMulti-objective optimizationIndustrial and Manufacturing EngineeringPAINT methodComputer Science ApplicationsSet (abstract data type)Multicriteria decision makingQuality (business)multiobjective optimizationNIMBUS methodbusinessSimulation basedcomputational costmedia_commonComputer-Aided Design
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Interactive Nonlinear Multiobjective Optimization Methods

2016

An overview of interactive methods for solving nonlinear multiobjective optimization problems is given. In interactive methods, the decision maker progressively provides preference information so that the most satisfactory Pareto optimal solution can be found for her or his. The basic features of several methods are introduced and some theoretical results are provided. In addition, references to modifications and applications as well as to other methods are indicated. As the role of the decision maker is very important in interactive methods, methods presented are classified according to the type of preference information that the decision maker is assumed to provide. peerReviewed

Pareto optimalityMathematical optimization021103 operations researchComputer sciencemultiple criteria decision making0211 other engineering and technologies02 engineering and technologyinteractive methodsDecision makernonlinear optimizationMulti-objective optimizationPreferenceNonlinear programmingPareto optimalNonlinear systemMultiobjective optimization problemmultiple objectives0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing
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PAINT : Pareto front interpolation for nonlinear multiobjective optimization

2011

A method called PAINT is introduced for computationally expensive multiobjective optimization problems. The method interpolates between a given set of Pareto optimal outcomes. The interpolation provided by the PAINT method implies a mixed integer linear surrogate problem for the original problem which can be optimized with any interactive method to make decisions concerning the original problem. When the scalarizations of the interactive method used do not introduce nonlinearity to the problem (which is true e.g., for the synchronous NIMBUS method), the scalarizations of the surrogate problem can be optimized with available mixed integer linear solvers. Thus, the use of the interactive meth…

Pareto optimalityMathematical optimizationMatematikControl and OptimizationApplied MathematicsComputationally expensive problemsMulti-objective optimizationmonitavoiteoptimointiSet (abstract data type)Computational MathematicsPareto optimalNonlinear systemMultiobjective optimization problemapproksimaatioPareto-optimaalisuusapproksimointiAlgorithmApproximationMathematicsInterpolationMathematicsInteger (computer science)Multiobjective optimizationInteractive decision making
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Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

2019

We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. We are motivated by practical applicability and focus on two main challenges faced by practitioners in industry: 1) meaningful formulation of the optimization problem reflecting the needs of a decision maker and 2) finding a desirable solution based on a decision maker’s preferences when solving a problem with computationally expensive function evaluations. For the first challenge, we describe the procedure of modelling a component in the air intake ventilation system wi…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemProcess (engineering)Computer sciencemedia_common.quotation_subjectmultiple criteria decision makingEvolutionary algorithmoptimal shape designpreference information0102 computer and information sciences02 engineering and technology01 natural sciencesComponent (UML)0202 electrical engineering electronic engineering information engineeringBaseline (configuration management)Function (engineering)Preference (economics)media_commonpareto-tehokkuusilmanvaihtojärjestelmätmetamodelsmonitavoiteoptimointikoneoppiminen010201 computation theory & mathematicsevolutionary multi-objective optimizationcomputational costs020201 artificial intelligence & image processingmuotoProceedings of the Genetic and Evolutionary Computation Conference
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Approximation through interpolation in nonconvex multiobjective optimization

2011

Pareto optimalityohjelmistotinteractive decision makingPAINTsurrogate problemoptimointiPareto front approximationtietokoneohjelmatmultiobjective optimizationcomputational costatk-ohjelmatyhteissuunnitteluvuorovaikutteisuus
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Approximation method for computationally expensive nonconvex multiobjective optimization problems

2012

Pareto-tehokkuusPareto optimalitycomputational efficiencyPareto front approximationpäätöksentekodecision makerpsychological convergencemonitavoiteoptimointilaskennallinen vaativuussurrogate functioninteractive decision makingmenetelmätPareto-optimointioptimointilaskennalliset menetelmätmultiobjective optimizationPareto dominancyapproksimointicomputational cost
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Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages

2020

Background: During early stages, patients with neurodegenerative diseases (NDG) often present with depressive symptoms. However, because depression is a heterogeneous disorder, more precise delineation of the specific depressive symptom profiles that arise early in distinct NDG syndromes is necessary to enhance patient diagnosis and care. Methods and Findings: Five-hundred and sixty four participants self-reported their depressive symptoms using the Geriatric Depression Scale (GDS), including 111 healthy older control subjects (NC) and 453 patients diagnosed with one of six NDGs who were at the mild stage of disease (CDR® Dementia Staging Instrument ≤ 1) [186 Alzheimer's disease (AD), 76 be…

PediatricsAgingDiseaseNeurodegenerativeAlzheimer's Diseasefrontotemporal dementialcsh:RC346-429Primary progressive aphasia0302 clinical medicineneurodegenerative diseasehopelessnessworry2.1 Biological and endogenous factorsPsychology030212 general & internal medicineAetiologyDepression (differential diagnoses)Original ResearchdysphoraDepressionAlzheimer'sFrontotemporal Dementia (FTD)Mental HealthNeurologyNeurologicaldepressionGeriatric Depression Scalemedicine.symptomFrontotemporal dementiamedicine.medical_specialtyClinical SciencesDysphoriaProgressive supranuclear palsy7.3 Management and decision making03 medical and health sciencesRare DiseasesClinical ResearchBehavioral and Social SciencemedicineAcquired Cognitive ImpairmentDementialcsh:Neurology. Diseases of the nervous systembusiness.industryNeurosciencesAlzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)progressive supranuclear palsymedicine.diseaseBrain DisordersGood Health and Well BeingDementiaNeurology (clinical)Management of diseases and conditionsbusiness030217 neurology & neurosurgeryFrontiers in Neurology
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APROS-NIMBUS: Dynamic Process Simulator and Interactive Multiobjective Optimization in Plant Automation

2013

Abstract Virtual commissioning of chemical plants often involves a dynamic simulator and an optimization method. This paper demonstrates the integration of APROS, a dynamic process simulator and IND-NIMBUS, an interactive multiobjective optimization software. We implement a multiobjective concentration control problem in APROS involving conflicting objectives and employ a decision maker to interact with IND-NIMBUS and express his preference information to finally obtain his most preferred solution. The results of this study show that APROS and IND-NIMBUS can be integrated and an interactive multiobjective optimization method can help the decision maker in exploring trade-offs among conflict…

Plant automationpareto optimalityComputer scienceProcess (engineering)business.industryControl (management)multiple criteria decision makingDecision makerMulti-objective optimizationdecision makingSoftwareConflicting objectivesbusinessSimulation
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A Prioritisation Model Aiding for the Solution of Illegal Buildings Problem

2016

In Italia, in particolare nelle aree del Sud, la costruzione di edifici e insediamenti abusivi è un problema importante e annoso che rimane irrisolto a dispetto di tre condoni edilizi. Ne deriva che le autorità pubbliche si trovano ad affrontare il problema della demolizione di un ingente numero di edifici, come prescritto dalla legislazione in materia. Ragioni di natura sociale e finanziaria impongono tuttavia l’esecuzione degli ordini di demolizione in maniera poco concentrata nel tempo, evidenziando il problema decisionale di stabilire un ordine di priorità relativo agli edifici interessati. Questa situazione preoccupante è divenuta oggetto di uno specifico disegno di legge che propone e…

Prioritisation modelArchitectural engineeringIllegal buildings problem; Prioritisation model; Multicriteria decision making; TOPSIS methodmodello di valutazione multicriterialeComputingMilieux_LEGALASPECTSOFCOMPUTING02 engineering and technology010501 environmental sciences01 natural sciencesMetodo TOPSISOrder (exchange)Human settlement0202 electrical engineering electronic engineering information engineeringMulticriteria decision makingTOPSIS method0105 earth and related environmental sciencescostruzioni abusiveIllegal buildings problemTOPSISmodello di prioritàRankingWork (electrical)DemolitionSpiteSettore ICAR/22 - Estimo020201 artificial intelligence & image processingBusiness
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