摘要：Today, the editor will introduce the managerial implications of an integrated group fuzzy inference and best–worst method for supp
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“颜读（40）：精读期刊论文《An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains》管理启示”
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Today, the editor brings the
"Yan Du (40): Careful reading of the journal paper ‘An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains’ Managerial implications"
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今天小编将从思维导图、精读内容、知识补充三个板块为大家带来《An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains》管理启示的介绍。
Today, the editor will introduce the managerial implications of an integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains from three sections: mind mapping, in-depth content reading, and supplementary knowledge.
一、思维导图（Mind Mapping）
二、精读内容（Conduct in-depth reading of the material）
（1）可持续性与竞争力（Sustainability and competitiveness）
可持续发展可以提高组织的竞争力。可持续经营管理是一种将经济、环境和社会活动融为一体的业务发展的实用方法。随着循环经济概念的出现，可持续经营管理在组织中变得更加重要。循环经济的主要目标是减少浪费并走向零浪费，从而最大限度地降低成本，减少能源和资源消耗，并且提高供应链网络的效率。
Sustainable development can enhance an organization's competitiveness. Sustainable operations management is a practical approach to business development that integrates economic, environmental, and social activities. With the emergence of the circular economy concept, sustainable operations management has become even more important within organizations. The primary goal of the circular economy is to reduce waste and move toward zero waste, thereby minimizing costs, reducing energy and resource consumption, and improving the efficiency of supply chain networks.
（2）多维度供应商评价的必要性（The necessity of multi-dimensional supplier evaluation）
在实际操作中，供应商选择需要同时考虑经济、循环、社会以及工业4.0等多重、甚至相互冲突的标准。单一维度的考量容易造成片面性，因此必须采取综合性、多准则的决策方法。
In practice, supplier selection requires considering multiple, sometimes conflicting, criteria, including economic, circular, social, and Industry 4.0. Considering only one dimension can easily lead to bias, so a comprehensive, multi-criteria decision-making approach is essential.
（3）本文提出方法的实践意义（Practical significance of the proposed method）
该方法允许企业从经济效益、环保绩效、社会责任以及技术创新四个角度全面评估供应商。通过模糊推理系统（FIS），实现了对各标准的非线性组合，克服了传统线性加权方法的局限。在评价过程中考虑了专家经验与知识差异，更有经验的专家意见被赋予更高权重，使结果更加科学合理。该方法能够作为组织中的决策支持工具，为可持续供应商评价与选择提供系统化支撑。
This method allows companies to comprehensively evaluate suppliers from four perspectives: economic benefits, environmental performance, social responsibility, and technological innovation. Using a fuzzy inference system (FIS), it enables nonlinear combination of these criteria, overcoming the limitations of traditional linear weighting methods. The evaluation process considers expert experience and knowledge differences, assigning greater weight to more experienced experts, resulting in more scientific and rational results. This method can serve as a decision-making support tool within organizations, providing systematic support for the evaluation and selection of sustainable suppliers.
三、知识补充（Supplementary Knowledge）
模糊神经网络是模糊逻辑与人工神经网络的结合体。其核心思想是：用模糊逻辑处理不确定性、模糊性和语言性评价（如“高”、“中”、“低”）；用神经网络的自学习、自适应能力来优化模糊系统中的隶属函数与模糊规则。因此，FNN可以看作是智能化的模糊推理系统(FIS)。其结构通常包含以下几个层次：输入层、模糊化层、规则层、归一化与聚合层、输出层。
A fuzzy neural network is a combination of fuzzy logic and artificial neural networks. Its core concept is to use fuzzy logic to handle uncertainty, ambiguity, and linguistic evaluations (such as "high," "medium," and "low"). It also leverages the self-learning and adaptive capabilities of neural networks to optimize the membership functions and fuzzy rules within the fuzzy system. Therefore, an FNN can be considered an intelligent fuzzy inference system (FIS). Its structure typically consists of the following layers: input layer, fuzzification layer, rule layer, normalization and aggregation layer, and output layer.
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翻译：Google翻译
参考资料：ChatGPT
参考文献：Tavana M, Sorooshian S, Mina H. An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains [J]. Annals of Operations Research, 2024, 342(1): 803-844.
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来源：LearningYard学苑
