Search results for "multicriteria decision making"

showing 8 items of 8 documents

NAUTILUS Navigator : free search interactive multiobjective optimization without trading-off

2019

We propose a novel combination of an interactive multiobjective navigation method and a trade-off free way of asking and presenting preference information. The NAUTILUS Navigator is a method that enables the decision maker (DM) to navigate in real time from an inferior solution to the most preferred solution by gaining in all objectives simultaneously as (s)he approaches the Pareto optimal front. This means that, while the DM reaches her/his most preferred solution, (s)he avoids anchoring around the starting solution and, at the same time, sees how the ranges of the reachable objective function values shrink without trading-off. The progress of the motion towards the Pareto optimal front is…

Mathematical optimizationControl and Optimization0211 other engineering and technologiesAnchoringpäätöksentukijärjestelmät02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationMotion (physics)Set (abstract data type)käyttöliittymätPreference (economics)MathematicsGraphical user interface021103 operations researchbusiness.industryApplied Mathematicsgraphical user interfaceFunction (mathematics)interactive methodsDecision makermonitavoiteoptimointiComputer Science Applicationsnavigointiinteraktiivisuusmulticriteria decision makingbusinesstrade-off free
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Monitoring multidimensional phenomena with a multicriteria composite performance interval approach

2021

[EN] In the last two decades, the construction of composite indicators to measure and compare multidimensional phenomena in a broad spectrum of domains has increased considerably. Different methodological approaches are used to summarise huge datasets of information in a single figure. This paper proposes a new approach that consists in computing a multicriteria composite performance interval based on different aggregation rules. The suggested approach provides an additional layer of information as the performance interval displays a lower bound from a non-compensability perspective, and an upper bound allowing for full-compensability. The outstanding features of this proposal are: 1) a dis…

CompensabilityECONOMIA APLICADA07.- Asegurar el acceso a energías asequibles fiables sostenibles y modernas para todosStrategy and ManagementComposite indicatorsMulticriteria decision makingECONOMIA FINANCIERA Y CONTABILIDADManagement Science and Operations ResearchPerformance intervalINGENIERIA DE SISTEMAS Y AUTOMATICA
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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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A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods

2015

Computationally expensive multiobjective optimization problems arise, e.g. in many engineering applications, where several conflicting objectives are to be optimized simultaneously while satisfying constraints. In many cases, the lack of explicit mathematical formulas of the objectives and constraints may necessitate conducting computationally expensive and time-consuming experiments and/or simulations. As another challenge, these problems may have either convex or nonconvex or even disconnected Pareto frontier consisting of Pareto optimal solutions. Because of the existence of many such solutions, typically, a decision maker is required to select the most preferred one. In order to deal wi…

Mathematical optimizationEngineeringControl and Optimizationbusiness.industryPareto principlePareto frontierDecision makerSampling techniqueComputer Graphics and Computer-Aided DesignMulti-objective optimizationComputer Science ApplicationsMultiobjective optimization problemPareto optimalConflicting objectivesBlack-box functionControl and Systems EngineeringMulticriteria Decision Making (MCDM)Computational costNature inspiredMetamodeling techniquebusinessEngineering design processSoftwareStructural and Multidisciplinary Optimization
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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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The ELECTRE I method to support the FMECA

2018

In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).

Decision Support SystemMulticriteria Decision Making
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Interactive evolutionary multiobjective optimization with modular physical user interface

2022

© 2022 Copyright held by the owner/author(s). Incorporating the preferences of a domain expert, a decision-maker (DM), in solving multiobjective optimization problems increased in popularity in recent years. The DM can choose to use different types of preferences depending on his/her comfort, requirements, or the problem being solved. Most papers, where preference-based and interactive algorithms have been proposed, do not pay attention to the user interfaces and input devices. If they do, they use character or graphics-based preference input methods. We propose the option of using a physical or tactile input device that gives the DM a better sense of control over providing his/her preferen…

decision supportpäätöksentekotactile interfacepäättäjäthuman machine interfacepäätöksentukijärjestelmätohjaimetpreference informationmonitavoiteoptimointikäyttöliittymätalgoritmitihminen-konejärjestelmätinteraktiivisuusmulticriteria decision makingdecomposition-based MOEAtietojärjestelmätProceedings of the Genetic and Evolutionary Computation Conference Companion
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A decision support system to compare different strategies for achieving the Italian Kyoto Protocol commitment

2008

Abstract: In order to meet the Italian Kyoto Protocol commitment, in 2002 the Interministerial Committee for Economic Planning (CIPE) approved the national allocation plan for the reduction of Greenhouse Gases (GHGs), envisioning various alternative scenarios. In this paper an extended impact assessment of the plan is accomplished and some further options are conceived and analysed in order to find an optimal trade-off among the different economic, environmental and social items at stake. After the selection of a set of independent indicators, nine different scenarios for the GHG reductions were evaluated and they were sorted according to the principles of the multicriteria analysis. The re…

Decision support systemdecision support systemImpact assessmentgreenhouse effectKyoto ProtocolEnvironmental economicsMultiple-criteria decision analysisEnergy policyEconomyTransparency (graphic)Greenhouse gasKyoto ProtocolBusinessEconomic planningMCDMnucleaMulticriteria Decision MakingInternational Journal of Nuclear Governance, Economy and Ecology
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