Title :
Fuzzy Presumptive Rate of Aggregative Risk in Software Development
Author :
Lee, Huey-Ming ; Lin, Lily
Author_Institution :
Dept. of Inf. Manage., Chinese Culture Univ., Taipei, Taiwan
Abstract :
In this paper, we propose the computational rule inferences to tackle the presumptive rate of aggregative risk in fuzzy circumstances. The proposed method of presumptive rate of aggregative risk directly uses the fuzzy numbers rather than the linguistic values to presume. The presumptive rate is close to the human thinking.
Keywords :
fuzzy set theory; inference mechanisms; risk management; software engineering; aggregative risk assessment; computational rule inferences; fuzzy numbers; fuzzy presumptive rate; software development; Concrete; Costs; Fuzzy control; Fuzzy systems; Humans; Information management; Programming; Risk analysis; Risk management; Uncertainty;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.221
