摘要：This issue of tweets will introduce the 6 conclusions of the intensive reading journal paper "A fuzzy group decision-making model
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今天小编为大家带来“精读期刊论文《衡量食品供应链弹性的模糊群体决策模型：西班牙案例研究》的6结论"。
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Today, the editor brings the "the 6 conclusions of the journal paper 'A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain'".
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一、内容摘要（Content summary）
本期推文将从思维导图、精读内容、知识补充三个方面介绍精读期刊论文《衡量食品供应链弹性的模糊群体决策模型：西班牙案例研究》的6结论。
This issue of tweets will introduce the 6 conclusions of the intensive reading journal paper "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain" from three aspects: mind mapping, intensive reading content, and knowledge supplement.
二、思维导图（Mind Mapping）
三、精读内容（Detailed Reading Content）
在结论部分，作者首先总结了本文的研究背景。在危机环境中，企业需与决策科学家合作建立应对模型。传统供应链缺乏应急机制，需通过组织成熟度提升弹性。弹性供应链需整合风险管控、响应速度与供应商协作，保障生产连续性并满足利益相关方需求。近十年研究重点已转向此类弹性方法。
In the conclusion part, the author first summarizes the research background of this paper. In a crisis environment, companies need to work with decision scientists to build response models. The traditional supply chain lacks an emergency mechanism and needs to improve resilience through organizational maturity. Resilient supply chains need to integrate risk management, speed of response and collaboration with suppliers to ensure production continuity and meet stakeholder needs. In the last decade, the focus of research has shifted to such elastic methods.
然后介绍了本文的研究内容和研究结果。该研究为西班牙南部安达卢西亚农业部门的食品配送业务提供综合决策模型建议。研究考虑并评估了从农民到超市等一系列参与者，了解蔬果生产和分销过程。通过向农业专家发放调查表，提出包括农民、加工商等七种参与者作为替代品，让专家根据风险条件对其表现按13个分项因素在三个层面进行评级，使用模糊语言变量方便意见表达与比较。采用BWM法和模糊MARCOS法确定因素权重和方案排序得分。结果显示农民应对中断的弹性得分最低，超市弹性较高。
Then it introduces the research content and results of this paper. The study provides recommendations for integrated decision models for food distribution operations in the agricultural sector of Andalusia, southern Spain. The study considered and evaluated a range of participants, from farmers to supermarkets, to understand the process of fruit and vegetable production and distribution. By sending questionnaires to agricultural experts, seven participants, including farmers and processors, were proposed as substitutes, and experts were asked to rate their performance according to risk conditions according to 13 sub-factors at three levels, and fuzzy language variables were used to facilitate opinion expression and comparison. Factor weights and scheme ranking scores were determined by BWM method and fuzzy MARCOS method. The results showed that farmers had the lowest score of resilience to disruption, while supermarkets had the highest score.
最后介绍了本文的管理启示、研究局限性以及未来展望。
Finally, this paper introduces the management enlightenment, research limitations and future prospects.
本文所提出的方法可以进一步发展和扩展到其他类型的行业或企业，其中绩效测量是不可避免的。经过适当的修改和调整，管理者将能够有效地将所提出的模型应用于风险和中断管理。
The methods presented in this paper can be further developed and extended to other types of industries or businesses where performance measurement is unavoidable. With appropriate modifications and adjustments, managers will be able to effectively apply the proposed model to risk and disruption management.
该研究局限性为：由于不可抗力因素，无法接触到农业合作伙伴和行为者。其他限制因素包括难以理解研究内容、低估了模型背后的价值和方法、填写在线问卷以及一些农民的知识水平较低。
Limitations of the study include the inability to reach agricultural partners and actors due to force majeure factors. Other limiting factors include difficulty understanding the research content, underestimating the values and methods behind the model, filling out online questionnaires, and the low level of knowledge among some farmers.
未来的研究可将可持续性概念可以与弹性相结合，并且可以开发适当的决策分析模型，以进一步分析可能出现的权衡。也可采用区间数、粗数和D数来量化不确定性，并比较它们的性能，以便更好地进行评估。DEMATEL方法也可被用于探讨不同危险因素之间的因果关系。除此之外，还可在食品供应链中结合运营能力进行弹性测量。
Future research could integrate sustainability concepts with resiliency, and appropriate decision analysis models could be developed to further analyze possible trade-offs. Interval numbers, rough numbers, and D-numbers can also be used to quantify uncertainties and compare their performance for better evaluation. The DEMATEL method can also be used to explore causal relationships between different risk factors. In addition, resilience measurements can be made in conjunction with operational capacity in the food supply chain.
四、知识补充（Knowledge Supplement）
（一）粗数（Rough numbers）
粗数是基于粗集理论中的论域、对象、属性、近似上下限、粗边界、决策表等概念提出的，通过计算客户需求项目的粗数可以确定其区间权重，并根据区间权重对其进行排序。 粗数计算过程无需额外收集任何数据，而是直接根据客户的打分数据进行，不但能够较好地反映客户的真实感知，而且能够综合考虑所有客户的感知。
Rough numbers are proposed based on the concepts of discourse domain, object, attribute, approximate upper and lower limit, rough boundary and decision table in rough set theory. By calculating the rough numbers of customer demand items, the interval weights can be determined and sorted according to the interval weights. The rough calculation process does not need to collect any additional data, but is directly based on the customer's scoring data, which can not only better reflect the real perception of customers, but also comprehensively consider the perception of all customers.
（二）D数（D number）
D数是Dempster-Shafer证据理论的扩展，用于处理不完全、冲突或动态变化的信息。
The D-number is an extension of Dempster-Shafer's evidence theory for dealing with incomplete, conflicting, or dynamically changing information.
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参考资料：ChatGPT、百度百科
参考文献：
[1] Yazdani Morteza, Torkayesh Ali Ebadi, Chatterjee Prasenjit, et al. A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain [J]. Socio-Economic Planning Sciences, 2022, 82(1): 101257-101271.
[2] 刘涛, 张婉玉. 基于D数理论和TOPSIS的老年肢体康复训练器设计方案评价与决策 [J]. 机械设计, 2022, 39(7): 155-160.
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