Perceptual computing: Difference between revisions

Content deleted Content added
Tkaimeng (talk | contribs)
add a new figure
Tkaimeng (talk | contribs)
Line 35:
How words can be aggregated to reflect each reviewer’s recommendation as well as the expertise of each reviewer about the paper’s subject matter is done using a linguistic weighted average. Although the journal publication judgment advisor uses reviewers and an associate editor, the word “reviewer” could be replaced by judge, expert, low-level manager, commander, referee, etc., and the term “associate editor” could be replaced by control center, command center, higher-level manager, etc. So, this application has potential wide applicability to many other applications.
 
Recently, a new Per-C based [[Failure mode and effects analysis]] (FMEA) 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]]