Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2023 , Vol. 57 >Issue S1: 46 - 53

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.S1.26

Risk Assessment Method for Marine Engineering Project Bidding Based on Back Propagation Neural Network

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  • 1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. Foresight Ship Classification, Shanghai 200072, China

Received date: 2023-05-14

  Revised date: 2023-06-14

  Accepted date: 2023-07-18

  Online published: 2023-11-10

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Abstract

The marine engineering industry is an internationalized sector, whose internationalization determines the intensity of competition. In the bidding process, it is crucial for company decision-makers to conduct accurate risk assessments, as this plays a vital role in the long-term development of the company. A high accuracy project risk assessment model is established after analyzing and identifying relevant risk factors in such projects based on quantifying qualitative problems using the fuzzy analytic hierarchy process (FAHP) and utilizing the high fault-tolerance and generalization capabilities of the back propagation (BP) neural network. Thus, the model provides an effective and efficient risk analysis tool for supporting enterprises in the marine engineering industry in the bidding decision-making process.

Key words： marine engineering bidding; risk assessment; back propagation (BP) neural network; fuzzy analytic hierarchy process (FAHP)

Cite this article

XIA Yu, WANG Lei . Risk Assessment Method for Marine Engineering Project Bidding Based on Back Propagation Neural Network[J]. Journal of Shanghai Jiaotong University, 2023 , 57(S1) : 46 -53 . DOI: 10.16183/j.cnki.jsjtu.2023.S1.26

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