摘要：This issue of tweets will introduce the 1 introduction (2) of the intensive reading journal paper "A fuzzy group decision-making m
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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1引言（2）”。
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Today, the editor brings the "the 1 introduction (2) 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1引言（2）。
This issue of tweets will introduce the 1 introduction (2) 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）
作者首先介绍了多属性决策（MCDM）的定义。MCDM方法是一种在多个领域中广泛应用的决策工具，它通过处理多个评价标准和不确定性来帮助决策者做出更科学和有效的决策。
The author first introduces the definition of multi-attribute decision making (MCDM). MCDM method is a widely used decision-making tool in many fields, which helps decision makers to make more scientific and effective decisions by dealing with multiple evaluation criteria and uncertainties.
然后介绍了MCDM方法的拓展领域与优点。MCDM方法在现实问题中的高效性和可靠性，在供应链管理，技术管理，医疗保健管理，能源管理和社会可持续性等领域广泛应用。同时，MCDM方法使决策者和管理者能够使用模糊逻辑，灰色区间数和粗糙数轻松反映决策参数和专家意见的不确定性。
Then, the development field and advantages of MCDM method are introduced. The efficiency and reliability of the MCDM method in real-world problems are widely used in the fields of supply chain management, technology management, healthcare management, energy management and social sustainability. At the same time, MCDM method enables decision makers and managers to use fuzzy logic, gray interval numbers and rough numbers to easily reflect the uncertainty of decision parameters and expert opinions.
接着作者介绍了本文的研究动机、研究目的、研究创新点。
Then the author introduces the research motivation, research purpose and research innovation of this paper.
研究动机：尽管MCDM在评估和量化食品供应链（FSC）弹性方面具有显著优势，但现有研究并未特别关注使用决策分析模型来提高FSC的弹性。由于全球贸易的高度复杂性以及实际生活中的未知和不可预见的中断，决策者需要评估其供应链网络对潜在风险因素的弹性。一个有弹性的FSC能够帮助组织更有效地重新设计、恢复和控制食品安全违规和中断。
Research motivation: Although MCDM has significant advantages in assessing and quantifying the resilience of food supply chains (FSCS), existing research has not specifically focused on using decision analysis models to improve the resilience of FSCS. Due to the high complexity of global trade and the unknown and unforeseen disruptions in real life, decision makers need to assess the resilience of their supply chain networks to potential risk factors. A resilient FSC helps organizations more effectively redesign, recover, and control food safety violations and outages.
研究目的：为弥补这一研究空白，本文提出了一种基于层次最佳-最差方法（BWM）和MARCOS方法的综合群决策模型，旨在通过识别潜在的风险因素和关键参与者来评估、量化和提高FSC的弹性性能。
Objective: To fill this research gap, a comprehensive group decision model based on hierarchical best-worst method (BWM) and MARCOS method is proposed to evaluate, quantify, and improve the elastic performance of FSCS by identifying potential risk factors and key actors.
研究创新点：为了提高FSC弹性评估的效率、一致性和可靠性，通过引入BWM和基于效用函数的MARCOS方法，来解决传统评估方法在成对比较、结果一致性和不确定性处理方面的局限性。选择BWM方法因其与其他传统方法相比，需要较低的成对比较，并能生成具有较高一致性的结果。引入MARCOS方法，这是一种基于效用函数的排名方法，能产生比传统MCDM排名方法更可靠的结果，并在不确定环境中使用三角模糊数来纳入专家意见的模糊性和不确定性。同时，研究强调了模糊集理论在扩展MCDM方法应用和提高评估系统灵活性方面的重要性，并通过对西班牙安达卢西亚真实案例的实证分析，验证了所提方法的适用性和可行性。
Research innovations: In order to improve the efficiency, consistency and reliability of FSC elasticity evaluation, BWM and MARCOS methods based on utility function were introduced to solve the limitations of traditional evaluation methods in pair comparison, result consistency and uncertainty processing. The BWM method was chosen because it requires lower pairwise comparisons and produces results with higher consistency than other traditional methods. Introduce the MARCOS method, a ranking method based on utility function that produces more reliable results than the traditional MCDM ranking method, and use triangular fuzzy numbers to incorporate the ambiguity and uncertainty of expert opinions in uncertain environments. At the same time, the importance of fuzzy set theory in expanding the application of MCDM method and improving the flexibility of evaluation system is emphasized. The applicability and feasibility of the proposed method is verified by an empirical analysis of a real case in Andalusia, Spain.
最后，作者介绍了本文的章节安排。第2节对决策模型在弹性供应链中的应用进行了全面的文献综述。第3节提出了拟议的决策方法。第4节是案例分析和供应链风险因素分析。第5节说明了拟议的决策方法，敏感性分析和讨论的结果。第6节是总结。
Finally, the author introduces the chapter arrangement of this paper. Section 2 gives a comprehensive literature review on the application of decision model in elastic supply chain. The proposed decision-making methodology is presented in section 3. Section 4 is a case study and supply chain risk factor analysis. Section 5 describes the proposed decision-making approach, sensitivity analysis and the results of the discussion. Section 6 is a summary.
四、知识补充——三角模糊数（Knowledge Supplement - Triangular Fuzzy Number）
三角模糊数是为了解决不确定环境下的问题，在1965年 提出的模糊集的概念，应用于质量管理、风险管理。
In order to solve the problem under uncertain environment, the concept of fuzzy set was put forward in 1965 and applied to quality management and risk management.
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参考资料：ChatGPT、百度百科
参考文献：
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.
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来源：LearningYard学苑