Abstract
Risk management in supply chains has received increasing attention in both academia and industry, so taking the risk evaluation into consideration to the partner selection problem is greatly meaningful. However, partner evaluation and selection considering risk factors are difficult under uncertain supply chain environment. In this paper, we present a new algorithm based on the fuzzy soft set theory and relative difference function to partner selection problems which has considered risk factors. A numerical example is employed to substantiate the algorithm.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xiao, Z., Chen, W. (2011). A Partner Selection Method Based on Risk Evaluation Using Fuzzy Soft Set Theory in Supply Chain. In: Wu, D. (eds) Modeling Risk Management in Sustainable Construction. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15243-6_3
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DOI: https://doi.org/10.1007/978-3-642-15243-6_3
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Online ISBN: 978-3-642-15243-6
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