Abstract
In previous chapters we discussed fuzzy rules and their computational environment. Within real fuzzy systems we cannot usually cover everything with a single fuzzy rule; we need a complete list of rules which can be named a fuzzy algorithm. This is actually a prescription from which corrective information is derived to direct the actions of the fuzzy controlled system. It is not hard to envision this list of rules as the source of such information. If the list is relatively long, it is sometimes referred to as a fuzzy rule base. In addition to such a base there is a database which holds fuzzy sets definitions, scaling factors, normalization constants, etc. Both fuzzy rule base and database represent a so-called knowledge base.
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© 2000 Springer Science+Business Media Dordrecht
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Virant, J. (2000). Fuzzy Algorithms. In: Design Considerations of Time in Fuzzy Systems. Applied Optimization, vol 35. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4673-3_4
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DOI: https://doi.org/10.1007/978-1-4615-4673-3_4
Publisher Name: Springer, Boston, MA
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