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Recently, a new Per-C based [[Failure mode and effects analysis]] methodology was developed, with it's application to [[edible bird's nest]] farming, in [[Borneo]], has been reported. <ref> {{cite journal |author1=Chai K.C.|author2=Tay K. M.|author3=Lim C.P. | title=A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming |journal=Applied Soft Computing |volume=49|year=2016|url=http://www.sciencedirect.com/science/article/pii/S1568494616304379 |doi=10.1016/j.asoc.2016.08.043
|pages= 734–747}}</ref>
[[File:Per-c fmea.png|center|thumb|A Perceptual Computing Based Failure Mode and Effect Analysis Methodology]]
In summary, the Per-C (whose development has taken more than a decade) is the first complete implementation of Zadeh’s CWW paradigm, as applied to assisting people to make subjective judgments.
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