Search results for "Analytic hierarchy process"

showing 10 items of 67 documents

A Compact Representation of Preferences in Multiple Criteria Optimization Problems

2019

A critical step in multiple criteria optimization is setting the preferences for all the criteria under consideration. Several methodologies have been proposed to compute the relative priority of criteria when preference relations can be expressed either by ordinal or by cardinal information. The analytic hierarchy process introduces relative priority levels and cardinal preferences. Lexicographical orders combine both ordinal and cardinal preferences and present the additional difficulty of establishing strict priority levels. To enhance the process of setting preferences, we propose a compact representation that subsumes the most common preference schemes in a single algebraic object. We …

Mathematical optimizationSubjective preferencesECONOMIA APLICADAOptimization problemComputer scienceProcess (engineering)020209 energyGeneral MathematicsAnalytic hierarchy processContext (language use)02 engineering and technologyLexicographic orders0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)powersetRepresentation (mathematics)Engineering (miscellaneous)Preference (economics)analytic hierarchy processPowersetAnalytic hierarchy processlcsh:Mathematicslcsh:QA1-939Lexicographical orderObject (computer science)subjective preferencessubjective preferences; analytic hierarchy process; lexicographic orders; powerset12.- Garantizar las pautas de consumo y de producción sostenibles16.- Promover sociedades pacíficas e inclusivas para el desarrollo sostenible facilitar acceso a la justicia para todos y crear instituciones eficaces responsables e inclusivas a todos los niveleslexicographic orders020201 artificial intelligence & image processingECONOMIA FINANCIERA Y CONTABILIDAD
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A Hybrid AHP Approach and GIS-Based Methods as Fundamental Tools in the SECAP’s Decision-Making Process

2023

Adapting to climate change and mitigating its impacts are the main challenges for cities today. One objective that the European Commission has set in recent decades is reducing climate change inaction, and several political actions have been implemented. Among these actions, the Covenant of Mayors led to the development and adoption of Sustainable Energy and Climate Action Plans (SECAPs) by many cities worldwide. A challenge that local authorities must face during the development of a SECAP is the identification of the policies to be included in the plan. This paper presents a case study to show the validity of using a hybrid analytic hierarchy process (AHP) approach and various geographic …

Multi-Criteria Decision Analysis (MCDA)Sustainable Energy and Climate Action Plan (SECAP)Decision Support System (DSS)Settore ICAR/05 - Trasportitransport sectorRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentAnalytic Hierarchy Process (AHP)Building and ConstructionManagement Monitoring Policy and LawSustainability
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Hierarchical multi-criteria analysis for the selection of a triathlon

2018

Sports activities have an increasingly large impact in different fields: economy, tourism, environment, applied technology, social, culture, etc. This study analyses the most important criteria that triathletes take into account when choosing a triathlon event in Spain. The methodology used was Analytic Hierarchy Process (AHP), which quantifies the weighting of each criterion and sub-criterion in a survey. The survey was drawn up using 14 triathlete experts and was completed by 95 triathlon participants. The results show that the internal aspects associated with the development of the triathlon event, together with the proximity to the athlete's home, the layout and signage of the circuits …

Multi-criteria analysisOperations researchEvent (computing)Computer scienceRAnalytic hierarchy processSatisfactionAnalytic Hierarchy Process (AHP)Physical Therapy Sports Therapy and RehabilitationCriteriaTriathlonWeightingMulti criteriaSignageValue for moneyEducación Física y Deportivalcsh:Sports medicinelcsh:RC1200-1245TourismSelection (genetic algorithm)
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The analytic hierarchy process with stochastic judgements

2014

The analytic hierarchy process (AHP) is a widely-used method for multicriteria decision support based on the hierarchical decomposition of objectives, evaluation of preferences through pairwise comparisons, and a subsequent aggregation into global evaluations. The current paper integrates the AHP with stochastic multicriteria acceptability analysis (SMAA), an inverse-preference method, to allow the pairwise comparisons to be uncertain. A simulation experiment is used to assess how the consistency of judgements and the ability of the SMAA-AHP model to discern the best alternative deteriorates as uncertainty increases. Across a range of simulated problems results indicate that, according to c…

Multicriteria decisionInformation Systems and ManagementGeneral Computer ScienceAnalytic network processAnalytic hierarchy processmulticriteriaMulticriteriaManagement Science and Operations ResearchDecision analysisIndustrial and Manufacturing EngineeringConsistency (database systems)EconometricsQA MathematicsuncertaintyQAta512ta218analytic hierarchy processMathematicsta212decision analysisStochastic multicriteria acceptability analysista214Analytic hierarchy processUncertaintysimulationRange (mathematics)Modeling and SimulationPairwise comparisonSimulationDecision analysisEuropean Journal of Operational Research
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COMPARATIVE ASSESSMENT OF SEVERAL MULTI-CRITERIA DECISION ANALYSIS TOOLS FOR MANAGEMENT OF CONTAMINATED SEDIMENTS

2007

Over the past several decades, environmental decision-making strategies have evolved into increasingly more sophisticated, information-intensive, and complexapproaches including expert judgment, cost-benefit analysis, toxicological risk assessment, comparative risk assessment, and a number of methods forincorporating public and stakeholder values. This evolution has led to an improved array of decision-making aids, including the development of Multi-CriteriaDecision Analysis (MCDA) tools that offer a scientifically sound decision analytical framework. The existence of different MCDA methods and the availability of corresponding software contribute to the possibility of practical implementat…

Multicriteria decisionOperations researchManagement scienceAggregate (data warehouse)Rank (computer programming)StakeholderAnalytic hierarchy processMultivariate normal distributionMultiple-criteria decision analysisPreferenceWork (electrical)ObstacleStochastic simulationProbability distributionEnvironmental scienceBusinessRisk assessmentEnvironmental planningStrengths and weaknesses
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An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

Operating costOperations researchComputer sciencebusiness.industryStrategy and ManagementRank (computer programming)Monte Carlo SimulationAnalytic hierarchy processTransportationManagement Monitoring Policy and LawFull service and low cost airlines; Analytic hierarchy process; Operating costs; Monte Carlo SimulationMicroeconomicsRentingRankingLow-cost carrierFull service and low cost airlineAnalytic hierarchy proceBalance sheetRobustness (economics)businessLawOperating cost
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Project Selection by Constrained Fuzzy AHP

2004

The selection of a project among a set of possible alternatives is a difficult task decision makers have to face. Difficulties in selecting a project arise because of the different goals involved and because of the large number of attributes to consider. Our approach is based upon a fuzzy extension of the Analytic Hierarchy Process (AHP). This paper focuses on the constraints that have to be considered within fuzzy AHP in order to take in account all the available information. This study demonstrates that by considering all the information deriving from the constraints better results in terms of certainty and reliability can be achieved.

Operations researchLogicbusiness.industryFuzzy setAnalytic hierarchy processMachine learningcomputer.software_genreFuzzy logicDefuzzificationTask (project management)Artificial IntelligenceFuzzy set operationsArtificial intelligencebusinesscomputerAHP fuzzy sets decision analysisSoftwareSelection (genetic algorithm)Decision analysisMathematicsFuzzy Optimization and Decision Making
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The Olt River pollution monitoring, using spatial analysis, analityc hierarchy process and technique for order preference by similarity methods

2016

Abstract Environmental pollution is one of the most serious problems of the contemporary world. Chemical industry is one of the major sources of environmental pollutants. Human knowledge and experience is currently focused on the use of assessment methods and techniques before and during the onset of such activities. For instance, it is common to consider the integration of multiple constraining factors and also, taking into account their high complexity and the application of one of the various techniques of Multi-Criteria Decision Making. The purpose of this study is to determine the location of the least and most polluted areas from several sampling points on the Olt River, in Romania. I…

Pollution0209 industrial biotechnologyEnvironmental EngineeringGeographic information systemOperations researchComputer sciencebusiness.industryProcess (engineering)General Chemical Engineeringmedia_common.quotation_subjectSampling (statistics)Analytic hierarchy processTOPSISEnvironmental pollution02 engineering and technologyMultiple-criteria decision analysis020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringEnvironmental Chemistry020201 artificial intelligence & image processingSafety Risk Reliability and Qualitybusinessmedia_commonProcess Safety and Environmental Protection
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A Quality Risk Management Model Approach for Cell Therapy Manufacturing

2010

International regulatory authorities view risk management as an essential production need for the development of innovative, somatic cell-based therapies in regenerative medicine. The available risk management guidelines, however, provide little guidance on specific risk analysis approaches and procedures applicable in clinical cell therapy manufacturing. This raises a number of problems. Cell manufacturing is a poorly automated process, prone to operator-introduced variations, and affected by heterogeneity of the processed organs/tissues and lot-dependent variability of reagent (e.g., collagenase) efficiency. In this study, the principal challenges faced in a cell-based product manufacturi…

Risk analysisEngineeringbusiness.industrymedia_common.quotation_subjectSpecific riskAnalytic hierarchy processContext (language use)Reliability engineeringRisk analysis (engineering)Physiology (medical)Quality (business)Safety Risk Reliability and QualitybusinessPareto analysisFailure mode and effects analysisRisk managementmedia_commonRisk Analysis
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Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

2020

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assess…

Risk analysisSupply chain risk managementcriticality and risk analysisComputer scienceAHPSupply chain09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovaciónAutomotive industryAnalytic hierarchy processBioengineeringcriticality and risk analysi02 engineering and technologylcsh:Chemical technologySystems engineeringlcsh:Chemistry0502 economics and businessSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringChemical Engineering (miscellaneous)lcsh:TP1-1185systems engineeringbusiness.industryProcess Chemistry and Technology05 social sciencesCriticality and risk analysisFuzzy DEMATELSupply chainMultiple-criteria decision analysis12.- Garantizar las pautas de consumo y de producción sosteniblesFailure mode effects and criticality analysislcsh:QD1-999Risk analysis (engineering)020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysis050203 business & managementFMECA
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