Abstract
Fril is an ideal language for soft computing since it is an efficient general logic programming language with special structures to handle uncertainty and imprecision. Four types of rules are allowed in Fril: (1) Prolog style rule, (2) Probabilistic fuzzy rule, (3) Causal Relational rule, (4) Evidential Logic Rule. Both fuzzy and probabilistic uncertainties can be handled. Fril can be linked to Mathematica allowing mathematical artificial intelligence problems with vagueness and uncertainty to be conveniently easily solved in a user friendly design environment.
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References
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© 1994 Springer-Verlag Berlin Heidelberg
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Baldwin, J.F. (1994). Soft Computing in Fril. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_28
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DOI: https://doi.org/10.1007/978-3-642-79386-8_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58649-4
Online ISBN: 978-3-642-79386-8
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