The Variable Precision Rough Set Inductive Logic Programming model (VPRSILP
model) extends the Variable Precision Rough Set (VPRS) model to Inductive
Logic Programming (ILP). The generic Rough Set Inductive Logic Programming
(gRS-ILP) model provides a framework for ILP when the setting is imprecise
and any induced logic program will not be able to distinguish between certa
in positive and negative examples. The gRS-ILP model is extended in this pa
per to the VPRSILP model by including features of the VPRS model. The VPRSI
LP model is applied to strings and an illustrative experiment on transmembr
ane domains in amino acid sequences is presented.