Assessment of the Rate of Aggregative Risk in Software Development using a Fuzzy Group Model

H.-M. Lee, T.-Y. Lee, S.-Y. Lee (Taiwan), and J.-J. Chen (USA)


Risk analysis; Rate of aggregative risk;Group decision making; Fuzzy number; Fuzzy assessmentmatrix.


The purpose of this study is to propose a new method for group decision making to evaluate the rate of aggregative risk in a fuzzy environment by fuzzy sets theory during any phase of the life cycle. The proposed algorithm is easier and more flexible than the ones we have presented before in Lee 11 . 13

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