Abstract
The analytic hierarchy process (AHP) is widely used in many fields as a classical multi attribute decision-making approach. Judgment matrix consistency is the core problem in the AHP. A nonlinear programming model is proposed for improving the consistency of the judgment matrix. Then a genetic algorithm is designed to solve the nonlinear programming model to determine matrix consistency adjustments. And the validity and feasibility of this method is validated by an example.
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Sun, X., Zheng, J., Pang, Y., Ye, C., Zhang, L. (2011). An Improvement Model of Analytic Hierarchy Process Based on Genetic Algorithm. In: Wu, Y. (eds) High Performance Networking, Computing, and Communication Systems. ICHCC 2011. Communications in Computer and Information Science, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25002-6_33
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DOI: https://doi.org/10.1007/978-3-642-25002-6_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25001-9
Online ISBN: 978-3-642-25002-6
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