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Using Uncertainty and Sensitivity Analyses in Socioecological Agent-Based Models to Improve Their Analytical Performance and Policy Relevance
16 references·4 citing·29 second hop
Using Uncertainty and Sensitivity Analyses in Socioecological Agent-Based Models to Improve Their Analytical Performance and Policy Relevance (2014)Using Uncertainty and Sensitivity Analyse…The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making (2013)The spatial framework for wei…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis (2010)Convergence and uncertainty a…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Sensitivity analysis of spatial models (2008)Sensitivity analysis of spati…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Environmental Modelling: An Uncertain Future? (2007)Environmental Modelling: An U…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis (2003)Shaping the Next One Hundred …Uncertainty in Geographical Information (2002)Uncertainty in Geographical I…Towards a coherent philosophy for modelling the environment (2002)Towards a coherent philosophy…GIS and Multicriteria Decision Analysis (2000)GIS and Multicriteria Decisio…Sensitivity analysis of normative economic models: theoretical framework and practical strategies (1997)Sensitivity analysis of norma…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…A framework for sensitivity analysis in discrete multi-objective decision-making (1991)A framework for sensitivity a…On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)On ordered weighted averaging…Uncertainty and Sensitivity Analyses Methods for Agent-Based Mathematical Models: An Introductory Review (2020)Uncertainty and Sensitivity A…‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models (2020)‘One Size Does Not Fit All’: …Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation (2017)Why Simheuristics? Benefits, …Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection (2015)Sensitivity Analysis of an EN…Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)The Logic of Scientific Discovery. (1959)Risk, Ambiguity, and the Savage Axioms (1961)The Structure of Scientific Revolutions (1963)Country-level social cost of carbon (2018)A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving (2019)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)A Measurement Theory for Time Geography (2004)The Validity and Usefulness of Laws in Geographic Information Science and Geography (2004)Geographic information systems and science: today and tomorrow (2009)Tentative guidelines to help choosing an appropriate MCDA method (1998)GIS‐based multicriteria decision analysis: a survey of the literature (2006)Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead (2008)A 2-tuple fuzzy linguistic representation model for computing with words (2000)Intuitionistic Fuzzy Aggregation Operators (2007)Pythagorean Membership Grades in Multicriteria Decision Making (2013)From screening to quantitative sensitivity analysis. A unified approach (2011)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Tools for Composite Indicators Building (2005)The epistemic, ethical, and political dimensions of uncertainty in integrated assessment modeling (2016)Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas (2018)Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation (2019)
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References

  • 1988On ordered weighted averaging aggregation operators in multicriteria decisionmaking7,301 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2000GIS and Multicriteria Decision Analysis3,032 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2003Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis1,248 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 2002Uncertainty in Geographical Information435 cited
  • 2007Environmental Modelling: An Uncertain Future?426 cited
  • 2002Towards a coherent philosophy for modelling the environment383 cited
  • 1997Sensitivity analysis of normative economic models: theoretical framework and practical strategies380 cited
  • 2010Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis326 cited
  • 2008Sensitivity analysis of spatial models277 cited
  • 2013The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making

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234 cited
  • 1991A framework for sensitivity analysis in discrete multi-objective decision-making203 cited
  • Cited by

    • 2020‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models72 cited
    • 2017Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation65 cited
    • 2015Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection50 cited
    • 2020Uncertainty and Sensitivity Analyses Methods for Agent-Based Mathematical Models: An Introductory Review21 cited