A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS
- Cite this paper as:
- Xie G., Zhang J., Lai K.K. (2005) A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS. In: Ślęzak D., Yao J., Peters J.F., Ziarko W., Hu X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science, vol 3642. Springer, Berlin, Heidelberg
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.
Unable to display preview. Download preview PDF.