For an introductory explanation about why it might
be useful to use fuzzy arithmetic in risk analysis
instead of, say, some Monte Carlo approach, see
http://www.ramas.com/Rcal-faq.htm#fuzzy or
http://www.ramas.com/Rcal-faq.htm#fdiff
For the sake of clarity, we should mention that
the fuzzy number depicted below is what Siler
refers to as "fuzzy 5" and Jeschke's software
represents as [5,5,2,1]. I usually represent this
fuzzy number as [3,5,6] because I think it's a
more natural generalization of the interval
notation that doesn't require mental addition
and subtraction.
1.0 - b
.8 - b b
.6 - b b
.4 - b b
.2 - b b
.0 - b b
--------------------------------------------
3 4 5 6
Scott Ferson <scott@ramas.com>
Applied Biomathematics, 516-751-4350, fax -3435
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