References
- Bombassaro, M. and Robaina, L.E.D.S., 2010. Contribuição geográfica para o estudo das inundações na bacia hidrográfica do Rio Taquari-Antas, RS. Geografias, 06, 69–86.
- Butler, J., Jia, J., and Dyer, J., 1997. Simulation techniques for the sensitivity analysis of multi-criteria decision models. European Journal of Operational Research, 103, 531–546.
- Chagas, A., et al., 2014. The warning flood system in Taquari River basin. In: 6th International Conference on Flood Management. ABRH, São Paulo, pp. 1–12.
- Chen, H., et al., 2011. Uncertainty analysis in a GIS-based multi-criteria analysis tool for river catchment management. Environmental Modeling and Software, 26, 395–405.
- Chen, Y., Yu, J., and Khan, S., 2010. Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modeling and Software, 25, 1582–1591.
- Chen, Y., Yu, J., and Khan, S., 2013. The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making. Environmental Modeling and Software, 48, 129–140.
- Crosetto, M., Tarantola, S., and Saltelli, A., 2000. Sensitivity and uncertainty analysis in spatial modelling based on GIS. Agriculture Ecosystems and Environment, 81, 71–79.
- de Brito, M.M. and Evers, M., 2016. Multi-criteria decision-making for flood risk management: a survey of the current state of the art. Natural Hazards and Earth System Sciences, 16, 1019–1033.
- de Brito, M.M., Evers, M., and Almoradie, A.D.S., 2018. Participatory flood vulnerability assessment: a multi-criteria approach. Hydrology and Earth System Sciences, 22, 373–390.
- de Brito, M.M., Evers, M., and Höllermann, B., 2017. Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: a case study in Taquari-Antas basin, Brazil. International Journal of Disaster Risk Reduction, 24, 119–128.
- Delgado, M.G. and Sendra, J.B., 2004. Sensitivity analysis in multicriteria spatial decision-making: a review. Human & Ecological Risk Assessment an International Journal, 10, 1173–1187.
- Dhami, I., et al., 2017. Suitability-sensitivity analysis of nature-based tourism using geographic information systems and analytic hierarchy process. Journal of Ecotourism, 16, 41–68.
- Dou, Y., Zhu, Q., and Sarkis, J., 2014. Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233, 420–431.
- Erlacher, C., et al., 2017. A GPU-based parallelization approach to conduct spatially- explicit uncertainty and sensitivity analysis in the application domain of landscape assessment. GI_Forum - Journal of Geography and Information Science. 44–58.
- Evers, M., Almoradie, A., and de Brito, M.M., 2018. Enhancing flood resilience through collaborative modelling and multi-criteria decision analysis (MCDA). In: Fekete A., Fiedrich F. (eds), Urban Disaster Resilience and Security. The Urban Book Series. Springer, Cham. Available from: https://link.springer.com/chapter/10.1007%2F978-3-319-68606-6_14.
- Fadel, A.W., 2015. Incorporação do risco de prejuízo no gerenciamento de medidas de controle de inundação. Porto Alegre, Brazil: Universidade Federal do Rio Grande do Sul.
- Feizizadeh, B. and Blaschke, T., 2013. GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran. Natural Hazards, 65, 2105–2128.
- Feizizadeh, B. and Blaschke, T., 2014. An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping. International Journal of Geography and Information Science, 28, 610–638.
- Feizizadeh, B., Jankowski, P., and Blaschke, T., 2014. A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis. Computational Geosciences, 64, 81–95.
- Feizizadeh, B. and Kienberger, S., 2017. Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment. Journal of Environmental Planning and Management, 60, 2013–2035.
- Ferretti, V., 2011. A multicriteria spatial decision support system development for siting a landfill in the province of Torino (Italy). Journal of Multi-CriteriaDecision Analysis, 18, 231–252.
- Ferretti, V. and Montibeller, G., 2016. Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems. Decision Support Systems, 84, 41–52.
- Garmendia, E. and Stagl, S., 2010. Public participation for sustainability and social learning: concepts and lessons from three case studies in Europe. Ecological Economics, 69, 1712–1722.
- Geneletti, D. and van Duren, I., 2008. Protected area zoning for conservation and use: A combination of spatial multicriteria and multiobjective evaluation. Landscape and Urban Planning, 85, 97–110.
- Ghorbanzadeh, O., Feizizadeh, B., and Blaschke, T., 2018. Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses. Geomatics. Nature Hazards Risk, 9, 127–151.
- Giupponi, C., Giove, S., and Giannini, V., 2013. A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change. Environmental Modelling and Software, 44, 136–147.
- Hasson, F., Keeney, S., and McKenna, H., 2000. Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32, 1008–1015.
- Heyden, Y.V., et al., 1999. Determination of system suitability limits with a robustness test. Journal of Chromatography A, 845, 145–154.
- IBGE, 2010. Censo demográfico 2010 [WWW Document]. Available from: http://www.ibge.gov.br/home/estatistica/populacao/censo2010/default.shtm [accessed 18 Nov 2016].
- IBGE, 2017. Cidades [WWW Document]. Accessed: http://cidades.ibge.gov.br/v3/cidades/home-cidades [accessed 30 Mar 2017].
- Ilia, I. and Tsangaratos, P., 2016. Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map. Landslides, 13, 379–397.
- Joerin, F., Thérialult, M., and Musy, A., 2001. Using GIS and outranking multicriteia analysis for land-use suitability assesment. International Journal of Geography and Information Science, 15, 153–174.
- Kandilioti, G. and Makropoulos, C., 2012. Preliminary flood risk assessment: the case of Athens. Natural Hazards, 61, 441–468.
- Ligmann-Zielinska, A. and Jankowski, P., 2006. A Framework for sensitivity analysis in spatial multiple criteria evaluation. In: Thomas J. Cova., Harvey J. Miller., Kate Beard., Andrew U. Frank., Michael F. Goodchild. (Eds.), Geographic Information Science. Heidelberg: Springer, Berlin, 217–233.
- Ligmann-Zielinska, A. and Jankowski, P., 2014. Spatially-explicit integrated uncertainty and sensitivity analysis of criteria weights in multicriteria land suitability evaluation. Environmental Modelling and Software, 57, 235–247.
- Loucks, D.P. and van Beek, E., 2017. water resource systems planning and management. Cham: Springer International Publishing.
- Malczewski, J., 2006. GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geography and Information Science, 20, 703–726.
- Malczewski, J. and Rinner, C., 2005. Exploring multicriteria decision strategies in GIS with linguistic quantifiers: a case study of residential quality evaluation. Journal of Geography System, 7, 249–268.
- Malczewski, J. and Rinner, C., 2015. Multicriteria decision analysis in geographic information science, advances in geographic information science. Berlin, Heidelberg: Springer.
- Mateo, J.R.S.C., 2012. Multi criteria analysis in the renewable energy industry. In: José Ramón San Cristóbal Mateo (Ed.), Multi criteria analysis in the renewable energy industry, green energy and technology. London: Springer, 7–10.
- Moreau, P., et al., 2013. An approach for global sensitivity analysis of a complex environmental model to spatial inputs and parameters: A case study of an agro-hydrological model. Environmental Modelling and Software, 47, 74–87.
- Mosadeghi, R., et al., 2015. Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, Environment and Urban Systems, 49, 54–65.
- MS, 2016. Portal do departamento de informática do SUS, Ministério da Saúde (MS) [WWW Document]. accessed from: http://datasus.saude.gov.br/ [accessed 31 Mar 2017].
- Paul, M.C., et al., 2016. Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia. Scientific Reports, 6, 1–10.
- Romano, G., et al., 2015. Multi-criteria decision analysis for land suitability mapping in a rural area of Southern Italy. Land Use Policy, 48, 131–143.
- Saaty, T.L., 1999. Fundamentals of the analytic network process. Proceedings of the ISAHP, 1, 1–14.
- Saaty, T.L., 2004. Fundamentals of the analytic network process - dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, 13, 129–157.
- Saaty, T.L. and Vargas, L.G., 2013. Decision making with the analytic network process, international series in operations research & management science. Boston, MA: Springer US.
- Saisana, M. and Saltelli, A., 2008. Uncertainty and sensitivity analysis of the 2008 Environmental Performance Index, JRC Science and Policy Reports. Luxembourg.
- Şalap-Ayça, S. and Jankowski, P., 2016. Integrating local multi-criteria evaluation with spatially explicit uncertainty-sensitivity analysis. Spatial Cognitive Computing, 16, 106–132.
- Saltelli, A. and Annoni, P., 2010. How to avoid a perfunctory sensitivity analysis. Environmental Modelling and Software, 25, 1508–1517.
- Siqueira, V.A., et al., 2016. Ensemble flood forecasting based on operational forecasts of the regional Eta EPS in the Taquari-Antas basin. Brazilian Journal Water Resource, 21, 587–602.
- Stirling, A., 2012. Opening up the politics of knowledge and power in bioscience. PLoS Biology, 10(1).
- Tang, Z., et al., 2018. Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis. Journal of Hydrology, 558, 144–158.
- Tate, E., 2012. Social vulnerability indices: A comparative assessment using uncertainty and sensitivity analysis. Natural Hazards, 63, 325–347.
- Thomas Steven Savage, J., et al., 2016. Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model. Water Resources Research, 52, 9146–9163.
- Tsoutsos, T., et al., 2009. Sustainable energy planning by using multi-criteria analysis application in the island of Crete. Energy Policy, 37, 1587–1600.
- Voinov, A. and Bousquet, F., 2010. Environmental Modelling and Software. Environmental Modelling and Software, 25, 1268–1281.
- Xu, E. and Zhang, H., 2013. Spatially-explicit sensitivity analysis for land suitability evaluation. Applied Geography, 45, 1–9.
- Zhou, P. and Ang, B.W., 2009. Comparing MCDA aggregation methods in constructing composite indicators using the Shannon-Spearman measure. Social Indicators Research, 94, 83–96.