Abstract
The computational difficulty of the MUSA method is based on the number of variables and the number of constraints in the formulated LP. The method consists of two distinct stages: in the first stage an initial LP is solved in order to obtain an optimum value for the selected error function, while in the second stage a heuristic algorithm is used (solving a number of LPs) in order to explore the multiple or near optimal solutions space.
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© 2010 Springer Science+Business Media, LLC
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Grigoroudis, E., Siskos, Y. (2010). Advanced Topics on the MUSA Method. In: Customer Satisfaction Evaluation. International Series in Operations Research & Management Science, vol 139. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1640-2_6
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DOI: https://doi.org/10.1007/978-1-4419-1640-2_6
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Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4419-1640-2
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