Introduction: One of the imprecision types of information encountered in an expert system is due to the (natural) language used to express information. If knowledge is not expressed in some formal language, the meaning cannot be interpreted exactly. Since there is no such universal scheme for formal representation language, a particular knowledge representation scheme must be chosen to adequately capture the information about the domain. Many a times the scheme chosen will not provide an exact match with the expert's knowledge. Thus, imprecision will occur. © Springer-Verlag Berlin Heidelberg 2011.
CITATION STYLE
Grosan, C., & Abraham, A. (2011). Fuzzy Expert Systems. Intelligent Systems Reference Library, 17, 219–260. https://doi.org/10.1007/978-3-642-21004-4_9
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