Search results for "Decision maker"

showing 10 items of 48 documents

Value of information in multiple criteria decision making: an application to forest conservation

2019

Abstract Developing environmental conservation plans involves assessing trade-offs between the benefits and costs of conservation. The benefits of conservation can be established with ecological inventories or estimated based on previously collected information. Conducting ecological inventories can be costly, and the additional information may not justify these costs. To clarify the value of these inventories, we investigate the multiple criteria value of information associated with the acquisition of improved ecological data. This information can be useful when informing the decision maker to acquire better information. We extend the concept of the value of information to a multiple crite…

0106 biological sciencesForest planningEnvironmental EngineeringBayesian decision theory010504 meteorology & atmospheric sciencesOperations researchComputer sciencepäätöksentekoComputational intelligenceEcological data010603 evolutionary biology01 natural sciencesValue of informationoptimointiEnvironmental Chemistrysimulointiconservation planningSafety Risk Reliability and Quality0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and Technologydecision analysisbayesilainen menetelmäsimulationDecision makermonitavoiteoptimointiPreferencemetsiensuojelukriteerittrade-offsMultiple criteriainformation updatingluonnonsuojelukompromissitoptimizationValue (mathematics)Stochastic Environmental Research and Risk Assessment
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A New Paradigm in Interactive Evolutionary Multiobjective Optimization

2020

Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving multiobjective optimization problems in an interactive manner by using multiple scalarization functions to map vectors in the objective space to a new, so-called preference incorporated space (PIS). In this way, the original problem is converted into a new multiobjective optimization problem with typically fewer objectives in the PIS. This mapping enables a modular incorporation of decision maker’s preferences to convert any evolutionary algorithm to an interactive one, whe…

050101 languages & linguisticsMathematical optimizationComputer sciencemedia_common.quotation_subjectdecision makerEvolutionary algorithmpäätöksentukijärjestelmätevoluutiolaskentapreference information02 engineering and technologySpace (commercial competition)Multi-objective optimizationoptimointiachievement scalarizing functionsalgoritmit0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesQuality (business)evolutionary algorithmsFunction (engineering)media_commonbusiness.industry05 social sciencesinteractive methodsModular designDecision makermonitavoiteoptimointiPreference020201 artificial intelligence & image processingbusiness
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Simulation Assessment of Cognitive Readiness

2013

Simulation-based scenarios are used in different approaches for research on complex problem-solving processes. The micro-world approach in this respect has become well known. Despite its attractiveness, there still are concerns about the validity that can be achieved in measuring cognitive functions by means of this method. The chapter refers to an alternative. Quasi-experimental simulations are applied to indicate the individual’s underlying capacity to function in complex, dynamic scenarios. Typically participants get deeply involved in the defined task, resulting in high motivation. The participants’ responses, within the ongoing events, mirror their performance in real-world tasks which…

AttractivenessTask demandComputer sciencemedia_common.quotation_subjectFoundation (evidence)CognitionResearch findingsDecision makerFunction (engineering)Cognitive psychologyTask (project management)media_common
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Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods

2018

Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively direct the solution process. However, when analyzing the performance of these methods, a critical issue is how to systematically involve decision makers. A recent approach to this problem is to replace a decision maker with an artificial one to be able to systematically evaluate and compare reference point based interactive methods in controlled experiments. In this study, a new artificial decision maker is proposed, which reuses the dynamics of particle swarm optimization f…

Computer sciencepäätöksentekomultiple criteria decision makingContext (language use)02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesMulti-objective optimizationoptimointi0202 electrical engineering electronic engineering information engineeringmultiobjective optimization0101 mathematicsToma de decisionespreference articulationparticle swarm optimizationbusiness.industryParticle swarm optimizationDecision makermonitavoiteoptimointiPreferenceMulti-objective optimization010101 applied mathematicsBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations

2022

AbstractWe introduce novel concepts to solve multiobjective optimization problems involving (computationally) expensive function evaluations and propose a new interactive method called O-NAUTILUS. It combines ideas of trade-off free search and navigation (where a decision maker sees changes in objective function values in real time) and extends the NAUTILUS Navigator method to surrogate-assisted optimization. Importantly, it utilizes uncertainty quantification from surrogate models like Kriging or properties like Lipschitz continuity to approximate a so-called optimistic Pareto optimal set. This enables the decision maker to search in unexplored parts of the Pareto optimal set and requires …

Control and Optimizationdecision makersApplied Mathematicspäätöksentekopreference informationManagement Science and Operations Researchinteractive methodsmonitavoiteoptimointiComputer Science ApplicationsoptimointiBusiness Management and Accounting (miscellaneous)multiobjective optimization problemskrigingmallit (mallintaminen)kriging-menetelmäcomputational cost
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Inferring Decision Strategies from Clickstreams in Decision Support Systems: A New Process-Tracing Approach using State Machines

2011

The importance of online shopping has grown remarkably over the last decade. In 2009, every West European spent on average € 483 online and this amount is expected to grow to € 601 in 2014. In Germany, the number of online shoppers has almost doubled since 2000: 44% of all adults regularly buy products onlinetoday. In Western Europe, online sales reached € 68 billion in 2009 and Forrester research forecasts it will reach € 114 billion by 2014 with an 11% compound annual growth rate.

Decision support systemFinite-state machineProcess tracingWestern europeBusinessCompound annual growth rateMarketingDecision makerAttribute level
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Integration of Two Multiobjective Optimization Methods for Nonlinear Problems

2003

In this paper, we bring together two existing methods for solving multiobjective optimization problems described by nonlinear mathematical models and create methods that benefit from both heir strengths. We use the Feasible Goals Method and the NIMBUS method to form new hybrid approaches. The Feasible Goals Method (FGM) is a graphic decision support tool that combines ideas of goal programming and multiobjective methods. It is based on the transformation of numerical information given by mathematical models into a variety of feasible criterion vectors (that is, feasible goals). Visual interactive display of this variety provides information about the problem that helps the decision maker to…

Decision support systemMathematical optimizationNonlinear systemControl and OptimizationTransformation (function)Mathematical modelApplied MathematicsGoal programmingDecision makerMulti-objective optimizationSoftwareVariety (cybernetics)MathematicsOptimization Methods and Software
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Solving multiobjective optimization problems with decision uncertainty: an interactive approach

2018

We propose an interactive approach to support a decision maker to find a most preferred robust solution to multiobjective optimization problems with decision uncertainty. A new robustness measure that is understandable for the decision maker is incorporated as an additional objective in the problem formulation. The proposed interactive approach utilizes elements of the synchronous NIMBUS method and is aimed at supporting the decision maker to consider the objective function values and the robustness of a solution simultaneously. In the interactive approach, we offer different alternatives for the decision maker to express her/his preferences related to the robustness of a solution. To conso…

Economics and EconometricsMathematical optimization050208 financerobust solutionsComputer science05 social sciencesmultiple criteria decision makinginteractive methodsDecision makerNIMBUSmonitavoiteoptimointiVisualizationMultiobjective optimization problemRobustness (computer science)0502 economics and businesshandling uncertaintiesrobustness measureBusiness and International Management050203 business & managementJournal of Business Economics
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Distributed consensus protocols for coordinating buyers

2003

In this paper, we introduce a distributed consensus protocol for coordinating orders of a network of buyers also called agents/decision makers. Each buyer chooses a different threshold strategy, defining its intention to place an order only if at least other l buyers will do the same. We prove that consensus is reached asymptotically globally and coordination is the same that if the decision making process would be centralized, namely, any decision maker (DM) has access to the thresholds of all other DMs and chooses to order or not. The proposed distributed protocol has the advantage that buyers do not have to communicate their threshold strategy in advance, and consensus is reached without…

EngineeringConsensusbusiness.industryOrder (business)If and only ifDistributed computingDecision-makingbusinessDecision makerProtocol (object-oriented programming)42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)
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Measuring autonomy freedom

2006

In the measurement of autonomy freedom, the admissible potential preference relations are elicited by means of the concept of ‘reasonableness’. In this paper we argue for an alternative criterion based on information about the decision maker’s ‘awareness’ of his available opportunities. We argue that such an inter- pretation of autonomy fares better than that based on reasonableness. We then introduce some axioms that capture this intuition and study their logical impli- cations. In the process, a new measure of autonomy freedom is characterized, which generalizes some of the measures so far constructed in the literature.

FreedomEconomics and EconometricsComputer sciencemedia_common.quotation_subjectFreedom of choiceDecision makerrepublicanismInternational political economySocial psychologyMathematical economicsSocial Sciences (miscellaneous)AxiomAutonomyPhilip PettitPublic financeIntuitionmedia_commonSocial Choice and Welfare
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