2,177 search results for “multi criteria decision analysis” in the Public website
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Multicriteria Optimization and Decision Analysis
The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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Chainet - European network on chain analysis for environmental decision support
Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.
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Criminal legislation - criteria for criminalization
One of the recurring points of discussion within the Criminal Justice research program is the question of which behaviors should and should not fall within the scope of criminal law. This question is examined from a legal- dogmatic and social-scientific perspective.
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Proper and improper uses of MCDA methods in energy systems analysis
In this article, Marco Cinelli, assistant professor at Leiden University College The Hague, examines proper and improper uses of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Multi-Omics in Research: Epidemiology, Methodology, and Advanced Data Analysis
PhD defence
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Multi-factor authentication
To log into many university systems you now need to use Multi-factor authentication (MFA). This means that as well as entering your username and password, you also need to confirm your identity via an additional method.
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Multi-angle DLS Facility
Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…
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Analysis of Energy Systems
The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek
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Matchmaking for open innovation: perspectives on multi-sided markets
Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)
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Exploring future multi-messenger Galactic astronomy
For centuries astronomers studied the Universe by collecting light. Nowadays, we are living in times of great technological advancements, which allow us to explore our Universe in a new way - though gravitational wave radiation.
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A behavioral view on responsibility attribution in multi-level governance
This article provides a behavioral perspective that examines responsibility attribution to the national government (upward) and policy implementers (downward) as a function of performance relative to decision-makers' aspiration levels. The study proposes that perceived accountability increases the propensity…
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Public Administration: Multi-Level Governance
The public sector is increasingly a multi-level system, with interactions between public and private actors on the national, sub-national (provinces, regions) and international level and various public, semi-public and private organisations that perform public tasks. In this minor students pay attention…
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…
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textnets: A Python package for text analysis with networks
With textnets it is possible to visualize and analyze textual data in novel ways.
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Multiway Analysis
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Institutions, Decisions and Collective Behaviour
Research in Leiden University’s Institute of Political Science focuses on the dynamics and the interaction of political institutions, individual decision-making, and collective behaviour.
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UNACCOMPANIED IMPROVISATION - The Multi-textural Nature of the Guitar
Why does the textural gap between the music that one can improvise and that which one can practice and learn to play (as in completely written-out music) seem to be bigger in the case of the guitar than, for example, in that of keyboard instruments?
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Automatic annotation of multi-modal language resources
The AAM-LR project aims at building a demonstrator of a web service that will help filed researchers to annotate audio- and video-recordings.
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Improving vegetation representation in Multi-sensor Earth Observation Products through phenology and trait-based priors
What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Applied multivariate data analysis
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Standardized and reproducible measurement of decision-making in mice
In science, it is of vital importance that multiple studies corroborate the same result. Researchers therefore need to know all the details of previous experiments in order to implement the procedures as exactly as possible. However, this is becoming a major problem in neuroscience, as animal studies…
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Lab facilities Economic Decision Making
How do individuals make decisions? What determines the quality of group decisions? When and why do people cooperate with others? How does intergroup competition evolve?
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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Image analysis & storage
Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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Analysis and Dynamical Systems
The research of our group is centered around dynamical systems, functional analysis and their interplay.
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Analysis and Dynamical Systems
The research of this programme is centered around dynamical systems, functional analysis, and their interplay.
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The Buffalo attack – An analysis of the manifesto
In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.
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New Methods for (f)MRI Analysis
Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.
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Social decision making in humans and great apes
Efficiently responding to others’ emotions has great survival value, especially for social species, such as primates, who establish close, long-term bonds with group members. The closest living relatives to humans are the chimpanzee and the bonobo. Studying these species, and comparing them on the exact…
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Stepwise latent class analysis
The main methodological aspects of the use of stepwise LCA estimators under different circumstances.
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Globalizing Palliative Care? A Multi-sited Ethnographic Study
This project investigates the globalization and cultural mediation of palliative care practices, policies and discourses.
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Making migration and migration policy decisions amidst societal transformations (PACES)
PACES is an innovative, inter-disciplinary and multi-level research project that asks, How do changes in society, individual life experiences and migration policy shape decisions to stay or to migrate over time and across countries? And how can this knowledge inform future migration policies and gov…
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Handbook for the Analysis of Micro-Particles in Archaeological Samples
This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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The Denial of Racism on Twitter: A Critical Discourse Analysis
Lecture, LUCIS What's New?! Series
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Degradome analysis of vaccines
The objective is to develop in vitro antigen degradation assays in order to mimic the fate of the antigen in vivo.
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Multi-Biomarker Pharmacokinetic-Pharmacodynamic Relationships of Central Nervous Systems Active Dopaminergic Drugs
Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.
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Oxford Encyclopedia of Crisis Analysis
The volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.