The evaluation and selection of cold chain logistics distribution centers are of vital importance for third‐party logistics companies which want to build green cold chain logistics networks. To select distribution centers, the conflicts among multiple criteria should be considered. The combined compromise solutions (CoCoSo) method can help enterprises make a structural decision; however, in the original CoCoSo method, the evaluation information was expressed by crisp numbers. Nevertheless, in many cases, because of the imprecision and incompleteness of information, it may be more flexible for evaluators to provide imprecise and fuzzy values rather than crisp numbers. In addition, the judgment values are often expressed based on decision‐makers' psychological expectations. The evaluation criteria of alternatives have relevance to some extent, which would influence the evaluation results. Based on these concerns, this study presents a modified CoCoSo method in the Pythagorean fuzzy environment in which evaluators can express psychological expectations on alternatives. To achieve this goal, the cumulative prospect theory is introduced to obtain the Pythagorean fuzzy prospect weights. Then, an objective weight determination method of criteria under the Pythagorean fuzzy environment is proposed to eliminate the influence of homogeneity of criteria. Based on the Pythagorean fuzzy prospect weights and the combined weights, the original CoCoSo method is extended to the Pythagorean fuzzy environment. A case of selection logistics distribution center is investigated to demonstrate the practicality of the proposed method. The advantages of the proposed method are verified by comparative analysis.

中文翻译：

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累积前景理论与组合权重相结合的毕达哥拉斯模糊组合折衷解法用于冷链物流配送中心选择

冷链物流配送中心的评估和选择对于第三方物流企业想要构建绿色冷链物流网络至关重要。在选择配送中心时，应考虑多个标准之间的冲突。组合折衷方案（CoCoSo）方法可以帮助企业做出结构性决策；然而，在最初的 CoCoSo 方法中，评估信息由清晰的数字表示。然而，在许多情况下，由于信息的不精确和不完整，评估者提供不精确和模糊的值而不是清晰的数字可能更灵活。此外，判断值往往基于决策者的心理预期来表达。替代品的评价标准具有一定的相关性，从而影响评价结果。基于这些担忧，本研究在勾股模糊环境中提出了一种改进的 CoCoSo 方法，其中评估者可以表达对替代方案的心理期望。为了实现这一目标，引入累积前景理论来获得勾股模糊前景权重。然后，提出了一种毕达哥拉斯模糊环境下准则的客观权重确定方法，以消除准则同质性的影响。基于勾股模糊前景权重和组合权重，将原有的 CoCoSo 方法扩展到勾股模糊环境。以选择物流配送中心为例，验证了该方法的实用性。