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.
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© 2005 Springer-Verlag Berlin Heidelberg
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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. https://doi.org/10.1007/11548706_56
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DOI: https://doi.org/10.1007/11548706_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28660-8
Online ISBN: 978-3-540-31824-8
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