摘要：Today, the editor brings the "the 2.4. research gaps, innovations and objectives of the journal paper 'A fuzzy group decision-maki
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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2.4.研究空白、创新性和目标”。
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Today, the editor brings the "the 2.4. research gaps, innovations and objectives 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2.4.研究空白、创新性和目标。
This issue of tweets will introduce the 2.4. research gaps, innovations and objectives of decision-making methods in SCR 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）
（一）研究空白（Research Gaps）
该论文针对的是全球贸易的复杂性和真实案例中未知及不可预见中断对供应链网络弹性的影响，特别是在食品工业领域。论文识别了现有研究中缺乏对供应链网络弹性和风险因素评估的复杂决策问题的解决方案。
The paper addresses the complexity of global trade and the impact of unknown and unforeseeable disruptions on supply chain network resilience in real cases, particularly in the food industry. The paper identifies solutions to complex decision-making problems that are lacking in existing research on supply chain network resilience and risk factor assessment.
改论文提出了一种基于BWM（最佳最差法）和模糊MARCOS（模糊多属性评级与选择方法）方法的模糊多标准决策模型（MCDM），同时该模型利用模糊三角数来处理不确定性，使决策者能够在参数不确定的情况下表达意见和判断。
This paper proposes a fuzzy multi-criteria decision model (MCDM) based on BWM (Best worst method) and Fuzzy MARCOS (Fuzzy Multi-Attribute Rating and Selection Method), which uses fuzzy triangle number to deal with uncertainty, so that decision makers can express opinions and judgments in the case of parameter uncertainty.
该论文的研究目标为确定食品工业供应链网络中最重要的弹性和风险因素、利用群体BWM确定这些因素的权重系数、确定供应链网络中的关键参与者，并使用模糊MARCOS方法对其进行比较评估，建立排名顺序。最后，通过西班牙安达卢西亚地区的食品和农业部门的案例研究，展示所提出的模糊决策模型在真实生活场景中的适用性，并由七位专家评估复原力和风险因素的重要性。
The research objectives of this paper are to identify the most important resilience and risk factors in the food industry supply chain network, determine the weight coefficients of these factors using population BWM, identify the key players in the supply chain network, and use fuzzy MARCOS method to compare and evaluate them, and establish the ranking order. Finally, a case study of the food and agriculturesector in the Andalusia region of Spain demonstrates the applicability of the proposed fuzzy decision model in real life scenarios, with seven experts assessing the importance of resilience and risk factors.
四、知识补充——模糊集（Knowledge Supplement - Fuzzy Set）
模糊集合是用来表达模糊性概念的集合。又称模糊集、模糊子集。
Fuzzy set is a set used to express fuzzy concepts. Also known as fuzzy set, fuzzy subset.
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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.
本文由LearningYard学苑整理并发出，如有侵权请在后台留言！
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来源：LearningYard学苑