Search results for "Preference elicitation"

showing 3 items of 3 documents

Interactive Decision Aids

2011

Decision support systems assist people in making a decision or choosing a course of action in a nonroutine situation that requires judgment (Haubl and Trifts 2000; Kasper 1996). In online webstores, vendors can easily offer highly interactive types of decision support. These co-called interactive decision aids (IDA) “help consumers in making informed purchase decisions amidst the vast availability of online product offerings” (Wang and Benbasat 2009, p. 3). However, the application of IDA is not restricted to purchase decisions. They are general enough to be of use in any kind of choice task where alternatives are known.

Course of actionDecision support systemKnowledge managementComputer sciencebusiness.industryDecision aidsPreference elicitationProduct (category theory)Aspiration levelRecommender systembusinessTask (project management)
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NAUTILUS framework : towards trade-off-free interaction in multiobjective optimization

2016

In this paper, we present a framework of different interactive NAUTILUS methods for multiobjective optimization. In interactive methods, the decision maker iteratively sees solution alternatives and provides one’s preferences in order to find the most preferred solution. We question the widely used setting that the solutions shown to the decision maker should all be Pareto optimal which implies that improvement in any objective function necessitates allowing impairment in some others. Instead, in NAUTILUS we enable the decision maker to make a free search without having to trade-off by starting from an inferior solution and iteratively approaching the Pareto optimal set by allowing all obje…

Pareto optimalityEconomics and EconometricsEngineeringMathematical optimization021103 operations researchbiologybusiness.industry0211 other engineering and technologies02 engineering and technologyinteractive methodsDecision makerbiology.organism_classificationMulti-objective optimizationSet (abstract data type)Pareto optimalOrder (exchange)0202 electrical engineering electronic engineering information engineeringmulticriteria optimization020201 artificial intelligence & image processingPreference elicitationBusiness and International ManagementNautilusbusiness
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Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting

2021

Background: Advanced treatment options for non-small cell lung cancer (NSCLC) consist of immunotherapy, chemotherapy, or a combination of both. Decisions surrounding NSCLC can be considered as preference-sensitive because multiple treatments exist that vary in terms of mode of administration, treatment schedules, and benefit–risk profiles. As part of the IMI PREFER project, we developed a protocol for an online preference survey for NSCLC patients exploring differences in preferences according to patient characteristics (preference heterogeneity). Moreover, this study will evaluate and compare the use of two different preference elicitation methods, the discrete choice experiment (DCE) and …

medicine.medical_specialtyMedicine (General)Health literacyTask (project management)03 medical and health scienceseducational tool0302 clinical medicineQuality of life (healthcare)R5-920SDG 3 - Good Health and Well-beingMethodsmedicineMedical physicsPreference elicitationReimbursementnon-small cell lung cancerhealth locus of controlProtocol (science)030503 health policy & servicesdiscrete choice experimentGeneral MedicinePreferenceLocus of controlquality of life030220 oncology & carcinogenesisMedicineswing weighting0305 other medical sciencePsychologyhealth literacypatient preferenceFrontiers in medicine
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