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Our ability to describe precisely a system depends on its complexity , i.e. the number of its elements, the kind of relations between those elements, and the level of difficulty in defining their features.
Learning or managing such systems lead to take into account the following types of data:
| Type of data |
Example |
vague |
"high cost" |
imprecise |
"about 3 to 5 meters high" |
spoilt by errors |
"200 kg to within about 5%" |
poorly defined |
"a strong pain" |
| with relative validity |
"in 90" |
uncertain data |
"very probable" |
IRIT-UPS