DocumentCode :
2795858
Title :
Using weighted triangular fuzzy numbers to evaluate the rate of aggregative risk in software development
Author :
Lee, Huey-Ming ; Lin, Lily
Author_Institution :
Dept. of Inf. Manage., Chinese Culture Univ., Taipei
Volume :
7
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
3762
Lastpage :
3767
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.
Keywords :
fuzzy set theory; software engineering; aggregative risk; assessment method; fuzzy assessment method; software development; weighted triangular fuzzy numbers; Costs; Cybernetics; Fuzzy reasoning; Fuzzy set theory; Information management; Machine learning; Programming; Risk management; Software systems; Uncertainty; Fuzzy assessment; Rate of aggregative risk; Weighted triangular fuzzy numbers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4621059
Filename :
4621059
Link To Document :
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