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Using weighted triangular fuzzy numbers to evaluate the rate of aggregative risk in software development

Authors :
Lily Lin
Huey-Ming Lee
Source :
2008 International Conference on Machine Learning and Cybernetics.
Publication Year :
2008
Publisher :
IEEE, 2008.

Abstract

In this paper, we present weighted triangular fuzzy numbers to tackle the rate of aggregative risk in fuzzy circumstances during any phase of the software development life cycle. Because the proposed assessment method directly uses the fuzzy numbers rather than the linguistic values to evaluate, it can be executed faster than before. The proposed fuzzy assessment method is easier, closer to evaluator real thinking and more useful than the ones they have presented before.

Details

Database :
OpenAIRE
Journal :
2008 International Conference on Machine Learning and Cybernetics
Accession number :
edsair.doi...........f8523c456c6505ca3c260abbf9ff9c80