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In this paper, we present a new algorithm to evaluate the rate of aggregative risk in software development using fuzzy set theory under the fuzzy group decision making environment. The proposed algorithm has the following advantages: (1) It does not need to form the fuzzy assessment matrices for attributes. (2) It does not need to perform the complicated defuzzification operations of fuzzy numbers...
This study is to propose an algorithm of the group decision makers with crisp or fuzzy weights to tackle the rate of aggregative risk in software development in fuzzy circumstances by fuzzy sets theory during any phase of the life cycle. The proposed algorithm is more flexible and useful than the ones we have presented before (H.-M. Lee, Fuzzy Sets and Systems 79 (3) (1996) 323-336; 80 (3) (1996)...
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