Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context

In recent years,multi-criteria sorting problems have become an interesting topic for researchers working on multi-criteria decision-making.ELimination and Choice Expressing REality(ELECTRE)-TRI and FlowSort are well-known approaches suggested for such a classification.The current study aimed to implement ELECTRE-TRI and FlowSort methods in the stock portfolio selection(SPS)as one of the most popular and important decision-making subjects and compare the outcomes of each method to understand how these methods perform in SPS problems.In this study,the best–worst method was applied to determine the weights of criteria.Four approaches for ELECTRE-TRI and 15 approaches for FlowSort were considered.Finally,19 different approaches were considered to select stocks from a large pool of stocks.Results indicated that the model parameter should be properly defined to minimize inconsistencies and improve the power of the model.

基于K-means^(++)的制造业服务流程模块划分

针对日益复杂产品延伸服务的客户个性化设计问题,提出了基于K-means^(++)的制造业服务流程模块划分方法。首先,分析各服务活动间的相关性得出综合相关度矩阵,通过K-means^(++)算法获得不同的模块化方案。其次,分别以数值和概率语言的形式给出定量和定性评价指标下的各模块化方案评估结果,并引入FlowSort多属性决策方法进行方案优选。最后,应用案例表明所提方法可考虑产品延伸服务间的关联关系得出合理的流程模块化方案。以上研究有助于揭示制造业产品延伸服务流程中的关联关系及整体特性,并通过科学的流程模块化方案实现简化复杂流程、快速响应客户需求的效果。