Models of enquiry and formalisms for approximate reasoning
Fuzzy logic for the management of uncertainty
Validation in Simulation: Various Positions in the Philosophy of Science
Management Science
Simulation model verification and validation
WSC '91 Proceedings of the 23rd conference on Winter simulation
Perspectives on Water: An Integrated Model-Based Exploration of the Future
Perspectives on Water: An Integrated Model-Based Exploration of the Future
Tests for the verification and validation of computer simulation models
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
A new approach to testing an integrated water systems model using qualitative scenarios
Environmental Modelling & Software
A new approach to testing an integrated water systems model using qualitative scenarios
Environmental Modelling & Software
Algebraic sensitivity analysis of environmental models
Environmental Modelling & Software
Fuzzy knowledge-based model for soil condition assessment in Argentinean cropping systems
Environmental Modelling & Software
Modelling the sensitivity to various factors of shipborne pollutant discharges
Environmental Modelling & Software
Global sensitivity analysis in the development of first principle-based eutrophication models
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Hi-index | 0.00 |
Systematic testing of integrated systems models is extremely important but its difficulty is widely underestimated. The inherent complexity of the integrated systems models, the philosophical debate about the model validity and validation, the uncertainty in model inputs, parameters and future context and the scarcity of field data complicate model validation. This calls for a validation framework and procedures which can identify the strengths and weaknesses of the model with the available data from observations, the literature and experts' opinions. This paper presents such a framework and the respective procedure. Three tests, namely, Parameter-Verification, Behaviour-Anomaly and Policy-Sensitivity are selected to test a Rapid assessment Model for Coastal-zone Management (RaMCo). The Morris sensitivity analysis, a simple expert elicitation technique and Monte Carlo uncertainty analysis are used to facilitate these three tests. The usefulness of the procedure is demonstrated for two examples.