This paper discusses how to encode fuzzy knowledge bases for diagnostic tasks (i.e., list of symptoms produced by each fault, in linguistic terms described by fuzzy sets) as constrained optimisation problems. The proposed setting allows more flexibility than some fuzzy-logic inference rulebases in the specification of the diagnostic rules in a transparent, user-understandable way (in a first approximation, rules map to zeros and ones in a matrix), using widely-known techniques such as linear and quadratic programming. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sala, A., Esparza, A., Ariño, C., & Roig, J. V. (2008). Encoding fuzzy diagnosis rules as optimisation problems. In Lecture Notes in Electrical Engineering (Vol. 15, pp. 49–58). https://doi.org/10.1007/978-3-540-79142-3_5
Mendeley helps you to discover research relevant for your work.