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Concession Candidates Selection Model for Infrastructure projects Using Interval Number and Grey Relational Analysis: A Social-Cost-Based Perspective

机译:基于区间数和灰色关联分析的基础设施项目特许权候选人选择模型:基于社会成本的视角

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Social cost is a factor that has been widely considered in social and economic development activities. For any infrastructure projects that has a bearing on the general public, great attention should be paid to any potential social negative effects arising from the mishap thereof. This paper presents a set of social-cost-based attributes for bid evaluation of BOT infrastructure project concession candidates. In case of known weighted attributes, the bid evaluation committee can develop a model for bid evaluation of concession candidates based on interval numbers and grey relational analysis, if it faces uncertainties concerning the attributes themselves and the owner's preference for concession candidates. The ranking of concession candidates can be done by obtaining grey correlation for interval numbers through the distance between interval numbers. This social-cost-based model is set to contribute to less social costs by forcing a concession candidate to work out a more reasonable operational scheme. Meanwhile, uncertain information for decision making is offset by interval numbers, leading to more practical evaluation results.
机译:社会成本是在社会和经济发展活动中被广泛考虑的一个因素。对于任何与公众息息相关的基础设施项目,应引起极大关注,以免因事故造成的任何潜在社会负面影响。本文提出了一套基于社会成本的属性,用于对BOT基础设施项目特许权候选人的投标评估。在已知加权属性的情况下,如果投标属性面临属性本身和所有者对优惠候选者的偏好方面的不确定性,则评标委员会可以基于区间数和灰色关联分析来开发一个对优惠候选者的评标模型。可以通过间隔号之间的距离获得间隔号的灰色相关性,从而对特许权候选者进行排名。这种基于社会成本的模型旨在通过迫使让步候选人制定出更合理的运营方案来减少社会成本。同时,用于决策的不确定信息被区间数所抵消,从而获得了更实用的评估结果。

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