Existing winner determination models tend to overlook the sustainable attributes of third party logistics (3PL) providers. This paper investigates a novel green winner determination problem that has several features, including (i) the sustainable attributes with conflicting and interactive properties of potential 3PLs, and (ii) the loss-averse behavior with an internal reference point of a fourth party logistics (4PL) provider. For the attributes with a combination of crisp data, interval numbers and intuitionistic 2-tuple linguistic terms, we integrate the prospect theory (PT) and Choquet integral with the “benefits, opportunities, costs and risks (BOCR)” framework to propose a novel PTC-BOCR solution method. Numerical experiments are conducted to illustrate the effectiveness and applicability of PTC-BOCR by comparing it with some known methods. Comparison analysis indicates that PTC-BOCR is robust with respect to the variance of 3PLs’ attribute values, while behavioral parameter analysis reveals that the loss-averse behavior of the 4PL is intensified as the difference of 3PLs varies. Managerial insights are also drawn for green 3PLs to win the auction. This study is a significant extension of traditional decision-making methods, which could benefit the realization of a sustainable logistics system in a cost-effective way for 4PLs.

现有的获胜者确定模型倾向于忽略第三方物流（3PL）提供者的可持续属性。本文研究了一个新颖的绿色获胜者确定问题，该问题具有几个特征，包括（i）具有潜在3PL冲突和交互属性的可持续属性，以及（ii）具有第四方物流的内部参考点的规避损失行为（ 4PL）提供商。对于结合了清晰数据，区间数和直觉两元组语言术语的属性，我们将前景理论（PT）和Choquet积分与“收益，机会，成本和风险（BOCR）”框架相结合，以提出一种新颖的方法PTC-BOCR解决方法。通过与一些已知方法进行比较，进行了数值实验，以说明PTC-BOCR的有效性和适用性。比较分析表明，PTC-BOCR在3PL属性值的方差方面具有较强的鲁棒性，而行为参数分析则表明，随着3PL差异的发生，4PL的厌恶行为会加剧。还为绿色3PL赢得了拍卖的管理见解。这项研究是对传统决策方法的重要扩展，它可以以经济高效的方式为4PL提供有益的可持续物流系统。