Abstract
This study develops a group decision-making model based on Variable Precision Rough Set, which can be used to adjust classification error in decision tables consisting of risk-evading level (REL) of software project bidding. In order to reflect experts' ability, impartiality and carefulness roundly during the course of group decision-making, a weight is endowed with each expert. Integrated risk-evading level (IREL) of projects and risk indices are computed. Then, risk-evading measures, the rank of risk-evading strength and risk-evading methodology are discussed. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Xie, G., Zhang, J., & Lai, K. K. (2005). A group decision-making model of risk evasion in software project bidding based on VPRS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3642 LNAI, pp. 530–538). https://doi.org/10.1007/11548706_56
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