Abstract
At first sight qualitative modeling seems quite promising as a tool to describe how a human reasons about a physical system. However this approach presents some limitations. We feel that the introduction of fuzzy qualitative variables and relations would enhance the capacity of this modeling in simulating human reasoning. This paper shortly surveys qualitative modeling as described in Williams', Kuipers', Bonissone's papers [1,2,11,12] from which we select a brief description. We then present a practical example dealing with faucets and containers filling up. Some limitations of the model are discussed. The introduction of fuzzy qualitative variables and relations into the model is considered. The aim of this simulation is to compare the strength and ability of the non-fuzzy and the fuzzy approaches in dealing with a simple problem whose solution is already well known.
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© 1988 Springer-Verlag Berlin Heidelberg
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Nordvik, J.P., Smets, P., Magrez, P. (1988). Fuzzy qualitative modeling. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_78
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DOI: https://doi.org/10.1007/3-540-19402-9_78
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