This research is motivated by the need to relax the strict boundary of
numeric-based signal validation. To this end, the use of fuzzy logic
for redundant sensor validation is introduced. Since signal validation
employs both numbers and qualitative statements, fuzzy logic provides
a pathway for transforming human abstractions into the numerical doma
in and thus coupling both sources of information. With this transforma
tion, linguistically expressed analysis principles can be coded into a
classification rule-base for signal failure detection and identificat
ion.