Dynamic Fuzzy Owa Model for Evaluating the Risks of Software Development

It is difficult to deal with the traditional weight problems of MCDM ( multiple criteria decision making). However, the previous aggregation operators (include OWA) do not take into account the situational factors when processes the aggregation, i.e. these operators and aggregation situation are independent. In order to solve this problem mentioned above, we propose a new powerful OWA aggregation model which can modify associated weights dynamical based on the aggregation situation and work like a “magnifying glass” to find the most important attribute dependent on the sparest information (i,e. optimistic situation α=0 or 1), or get equal attributes’ weights based on maximal information (i,e. moderate situation α=0.5). For illustrating and verifying this new model we developed a Group Decision Support System (GDSS) to evaluate the risks of software and compared the running results with Chen’s [13] and Lee’s [6] method.