Abstract
After the network has been constructed, with the increasing demand, the network must be faced with the capacity expansion problem. In this paper, a mathematic model is formulated to solve the bottleneck capacity expansion problem of network with fuzzy demand. A linear program model with fuzzy coefficient is put forward. We present a decomposition algorithm to solve the model. The results show the decomposition algorithm can improve the solving speed greatly. So, we can minimize the expansion cost and provide evidence for the decision maker to make reasonable and effective decision.
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© 2006 Springer-Verlag Berlin Heidelberg
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He, B., Yang, C., Ren, M., Ma, Y. (2006). A Study on Decision Model of Bottleneck Capacity Expansion with Fuzzy Demand. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_116
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DOI: https://doi.org/10.1007/11893295_116
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
Online ISBN: 978-3-540-46485-3
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