Principles and techniques of simulation validation, verification, and testing
WSC '95 Proceedings of the 27th conference on Winter simulation
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
A fuzzy logic approach to modelling the New Zealand underground economy
Mathematics and Computers in Simulation - Selected papers of the MSSANZ/IMACS 13th biennial conference on modelling and simulation, Hamilton, New Zealand, December 1999
Tests for the verification and validation of computer simulation models
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
A tutorial on verification and validation of simulation models
WSC '84 Proceedings of the 16th conference on Winter simulation
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Application of fuzzy logic to the evaluation of runoff in a tropical watershed
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Fuzzy filtering for robust bioconcentration factor modelling
Environmental Modelling & Software
Environmental Modelling & Software
A formal framework for scenario development in support of environmental decision-making
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
A web-based fuzzy expert system for frost warnings in horticultural crops
Environmental Modelling & Software
A group agreement-based approach for decision making in environmental issues
Environmental Modelling & Software
Position Paper: The role of expert opinion in environmental modelling
Environmental Modelling & Software
Position paper: Characterising performance of environmental models
Environmental Modelling & Software
Review: A critical review of integrated urban water modelling - Urban drainage and beyond
Environmental Modelling & Software
A methodological approach to mining and simulating data in complex information systems
Intelligent Data Analysis
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Integrated systems models have been developed over decades, aiming to support the decision-makers in the planning and managing of natural resources. The inherent model complexity, lack of knowledge about the linkages among model components, scarcity of field data, and uncertainty involved with internal and external factors of the real system call their practical usefulness into doubt. Validation tests designed for such models are just immature, and are argued to have some characteristics that differ from the ones used for validating other types of models. A new approach for testing integrated water systems models is proposed, and applied to test the RaMCo model. Expert knowledge is elicited in the form of qualitative scenarios and translated into quantitative projections using fuzzy set theory. Trend line comparison of the projections made by the RaMCO model and the qualitative projections based on expert knowledge revealed an insufficient number of land-use types adopted by the RaMCo model. This insufficiency makes the model inadequate to describe the consequences of the changes in socio-economic factors and policy options on the erosion from the catchment and the sediment yields at the inlet of a storage lake.