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Sustainable competitiveness evaluation of container liners based on granular computing and social network group decision making
International Journal of Machine Learning and Cybernetics ( IF 5.6 ) Pub Date : 2021-04-19 , DOI: 10.1007/s13042-021-01325-5
Xueqin Liu , Yanjun Wang , Lidong Wang

In the shipping industry, the sustainability of the shipping companies has received more attention besides the economic benefits. A suitable evaluation model can provide a credible sustainable improvement test and guide the operation and management of shipping companies. This study is concerned with a granular evaluation model for the sustainable competitiveness evaluation of container liners, where the interval linguistic version of the analytic hierarchy process is designed for comparing alternatives comprehensively. To obtain ideal consistent preference relations, we propose a modification method by constructing information granules and using particle swarm optimization. Moreover, based on the combination of individual preference relations and experts’ weights obtained from the social network, the aggregated overall opinion of alternatives is achieved. Furthermore, a case study evaluating the sustainable competitiveness of container liners is conducted to support the proposed evaluation framework’s feasibility and practicality.



中文翻译:

基于粒度计算和社交网络群体决策的集装箱班轮可持续竞争力评估

在航运业中,除经济利益外,航​​运公司的可持续发展受到了更多关注。合适的评估模型可以提供可靠的可持续改进测试,并指导船公司的运营和管理。这项研究涉及用于集装箱班轮可持续竞争力评估的精细评估模型,该模型设计了层次分析法的区间语言版本,用于全面比较备选方案。为了获得理想的一致偏好关系,我们提出了一种通过构造信息颗粒并使用粒子群优化的修正方法。此外,基于个人偏好关系和从社交网络获得的专家权重的结合,获得了替代方案的总体总体意见。此外,进行了一个评估集装箱班轮可持续竞争力的案例研究,以支持所提出的评估框架的可行性和实用性。

更新日期:2021-04-19
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