DocumentCode
2415728
Title
A cognitive science approach to metametric fuzziness
Author
Das, Asesh
Author_Institution
Pennsylvania Coll. of Technol., Williamsport, PA, USA
fYear
2002
fDate
2002
Firstpage
432
Lastpage
436
Abstract
Metametrics are mostly user given metrics to the product development team. This team´s responsibility is to derive crisp, good, process-capturing metrics from the acquired metametrics, which provide fuzzy information about the user´s knowledge on the product, often in granular form. This paper presents a cognitive science approach using cue words to analyze these fuzzy information granules. A class of computing with words proposed by Lotfi Zadeh evolves
Keywords
cognitive systems; fuzzy logic; product development; cognitive science; fuzzy domains; fuzzy information; fuzzy information granules; metametrics; process-capturing metrics; product development team; product knowledge; software engineering; Appraisal; Cognitive science; Control systems; Educational institutions; Information analysis; Knowledge acquisition; Pattern analysis; Product development; Software engineering; Software measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
SoutheastCon, 2002. Proceedings IEEE
Conference_Location
Columbia, SC
Print_ISBN
0-7803-7252-2
Type
conf
DOI
10.1109/.2002.995634
Filename
995634
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