计算机科学
随机规划
调度(生产过程)
数学优化
运筹学
区间(图论)
模糊逻辑
可靠性
工程类
数学
人工智能
组合数学
法学
政治学
作者
Zhaoping Tang,Wenda Li,Shunhua Zhou,Jianjun Sun
摘要
This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering the uncertainties in demand, reserve, and transportation costs of resources. We introduce a novel approach that integrates stochastic mathematical programming, interval parameter programming, and fuzzy mathematical programming to study uncertain parameter interactions and coupling. A two-stage interval fuzzy credibility-constrained model is established and solved using an interval interactive algorithm. Finally, through a case study on China Railway Nanchang Group Co., Ltd., the novelty and effectiveness of the proposed method for optimizing emergency resource scheduling strategies under multiple uncertainties are demonstrated.
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