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Lookup NU author(s): Professor Jim Hall, Dr David Harvey
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The purpose of the research described in this paper is to provide meta-level support to the process of constructing and interpreting complex composite models. Above the numerical computations that hydroinformatic models are enacting, we think of a semantic layer of evidential reasoning about models, their relationship with measured observations and the extent to which their results provide a sound basis for decisionmaking. In the past this evidential reasoning has been done by humans, but, given the almost bewildering complexity of modelling systems either existing or soon to emerge, it is now necessary to supplement human reasoning with formal methods. In this paper the principles upon which our approach is based are outlined briefly. A preliminary implementation of some simple examples using the FRIL Fuzzy Reasoning and Inference Language is presented.
Author(s): Hall JW, Harvey H, Evans J
Editor(s): Liong S-Y; Phoon K-K; Babovic V
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the 6th International Conference on Hydroinformatics
Year of Conference: 2004
Number of Volumes: 2
Pages: 987-994
Publisher: World Scientific
Library holdings: Search Newcastle University Library for this item
ISBN: 9812387870
