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Oil and Gas Pipeline Limited Charge Optimum Maintenance Decision-Making Analysis Based on Fuzzy-Gray-Element Theory and Fuzzy Analytical Hierarchy Process*

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Fuzzy Information and Engineering

Part of the book series: Advances in Soft Computing ((AINSC,volume 40))

Abstract

This papers analyses the choice, combination and optimization of maintenance measures in the maintenance of oil and gas pipelines, initially proposes 4 factors system that influence effect of maintenance on pipelines, which includes person factor, fieldwork difficult degree, fieldwork management and environment condition, establishes hierarchy model of maintenance measures, introduces fuzzy analytical hierarchy process based on triangular fuzzy number, and compares the effects of different maintenance measures in order to determine the weight under single factor condition and composite matter-element of maintenance measures. On the basis of the above analysis, the paper proposes 4 methods of maintenance projects fund distribution based on different weight of efficiency factor of maintenance measures under the condition of limited charge. Using the fuzzy-gray-element theory combining fuzzy mathematics, gray theory and matter-element analysis, the paper analyses maintenance measure fund distribution based on different weight of efficiency factor of maintenance measures with fuzzy-gray-element correlation decision-making analysis, and conclusively determines optimization of maintenance project according to criteria of maximized correlative degree.

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References

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Bing-Yuan Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhang, P., Peng, X., Li, X. (2007). Oil and Gas Pipeline Limited Charge Optimum Maintenance Decision-Making Analysis Based on Fuzzy-Gray-Element Theory and Fuzzy Analytical Hierarchy Process*. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_50

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  • DOI: https://doi.org/10.1007/978-3-540-71441-5_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71440-8

  • Online ISBN: 978-3-540-71441-5

  • eBook Packages: EngineeringEngineering (R0)

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