I have been reading Fuzzy Belief Revision and trying to determine how the methods could be used to combine readings from conflicting sensors. For example, if one sensor reads 70 degrees and another reads 75 degrees.
This paper uses examples that combine subjectively defined properties. For example, a car may have the properties expensive, economical, and powerful with subjectively defined values 0.75, 0.50, and 0.75, respectively.
I can't see a way to apply these techniques to quantified data but this paper, and many other papers on Fuzzy Systems, make reference to applying Fuzzy techniques to "imprecise sensors".
Is there a paper that deals directly with combining sets of conflicting sensor readings using Fuzzy methods? Or otherwise combining quantified information rather than subjective properties?