摘要：This issue of tweets will introduce the research object and keyword definition of the intensive reading journal paper "A fuzzy gro
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Today, the editor brings the "the research object and keyword definition 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》的研究对象和关键词定义。
This issue of tweets will introduce the research object and keyword definition 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）研究对象——食品供应链（Research Object - Food Supply Chain）
食品供应链是从食品的初级生产者到消费者各环节的经济利益主体（包括其前端的生产资料供应者和后端的作为规制者的政府）所组成的整体。
The food supply chain is a whole composed of the economic interest subjects from the primary producer to the consumer (including the supplier of the means of production at the front end and the government as the regulator at the back end).
食品供应链属于典型的功能性产品供应链，供应链的设计主要着眼于各环节综合成本最小化，以推动策略、预测囤货型生产为主，通过采购、生产、配送的平稳运作来降抵成本。强调规模经济，以产能利用率、库存周转率等物质效率指标。
Food supply chain is a typical functional product supply chain. The design of the supply chain mainly focuses on minimizing the comprehensive cost of each link, focusing on promoting strategies and predicting stock-based production, and reducing costs through the smooth operation of procurement, production and distribution. Emphasis on economies of scale, capacity utilization, inventory turnover and other material efficiency indicators.
（二）关键词（Key Words）
1. 食品供应链（如上所示）
1. Food supply chain (as shown above)
2. 弹性
2. Resiliency
此处的弹性指的是供应链弹性。弹性供应链是指供应链在部分失效时仍能保持连续供应且快速恢复到正常供应状态的能力。
Elasticity here refers to supply chain Elasticity. Elastic supply chain refers to the ability of supply chain to maintain continuous supply and quickly recover to normal supply state in case of partial failure.
3. 模糊逻辑（Fuzzy Logic）
模糊逻辑是建立在多值逻辑基础上，运用模糊集合的方法来研究模糊性思维、语言形式及其规律的科学。模糊逻辑可以模仿人脑的不确定性概念判断、推理思维方式，对于模型未知或不能确定的描述系统，以及强非线性、大滞后的控制对象，应用模糊集合和模糊规则进行推理，表达过渡性界限或定性知识经验，模拟人脑方式，实行模糊综合判断，推理解决常规方法难于对付的规则型模糊信息问题。
Fuzzy logic is a science which is based on multi-valued logic and uses fuzzy set method to study fuzzy thinking, language form and its law. Fuzzy logic can imitate the uncertainty concept judgment and reasoning thinking mode of human brain. For the description system with unknown or uncertain model and the control object with strong nonlinear and large lag, fuzzy sets and fuzzy rules can be applied to reason, express transitional boundaries or qualitative knowledge and experience, simulate the human brain mode, and implement fuzzy comprehensive judgment. Reasoning solves the problem of regular fuzzy information which is difficult to deal with by conventional methods.
模糊逻辑善于表达界限不清晰的定性知识与经验，它借助于隶属度函数概念，区分模糊集合，处理模糊关系，模拟人脑实施规则型推理，解决因“排中律”的逻辑破缺产生的种种不确定问题。
Fuzzy logic is good at expressing qualitative knowledge and experience with unclear boundaries. It distinguishes fuzzy sets, deals with fuzzy relations, simulates human brain to implement regular reasoning, and solves all kinds of uncertain problems caused by the logic breaking of "exclusion law" by means of the concept of membership function.
4. BWM
4. BWM
荷兰学者Jafar Rezaei于2015年提出了一种新的多准则决策方法——最优最劣法（BWM），相较于层次分析法，该方法可以更为简便的确定出每一个准则的权重。
In 2015, Dutch scholar Jafar Rezaei proposed a new multi-criterion decision-making method, the best-worst method (BWM), which makes it easier to determine the weight of each criterion than analytic hierarchy process (AHP).
BWM方法在保留两两对比思想的前提下对层次分析法（AHP）进行了算法改进，不是直接比较所有成对指标，而是先判定最优、最劣指标，再分别比较最优指标和其余指标、其余指标和最劣指标的相对重要性程度。具体步骤为：
BWM method improves the analytic Hierarchy Process (AHP) algorithm on the premise of keeping the pairwise comparison idea. Instead of directly comparing all pairwise indicators, BWM first determines the best and worst indicators, and then compares the relative importance degree of the best indicators and other indicators, and other indicators and the worst indicators respectively. The specific steps are:
5. MARCOS
5. MARCOS
MARCOS方法通过检测评价对象与最优解、最劣解的距离来进行排序；若评价对象最靠近最优解同时又最远离最劣解，则为最好,否则不为最优。方案排序的规则是把各备选方案与理想解和负理想解做比较，若其中有一个方案最接近理想解，而同时又远离负理想解则该方案是备选方案中最好的方案。其步骤如下：
By detecting the distance between the evaluation objects and the optimal solution and the worst solution, MARCOS method is used to sort the evaluation objects. If the evaluation object is closest to the optimal solution and farthest from the worst solution, it is the best; otherwise, it is not the best. The rule of scheme ranking is to compare the alternatives with the ideal solution and the negative ideal solution. If one of the alternatives is closest to the ideal solution, but at the same time far from the negative ideal solution, it is the best of the alternatives. The steps are as follows:
四、知识补充——模糊逻辑基本理论（Knowledge Supplement -- Basic Theory of Fuzzy Logic）
模糊逻辑是一种处理不确定性和模糊性的数学工具，它扩展了传统的二值逻辑（即布尔逻辑），允许在决策过程中使用“部分真”或“部分假”的概念。模糊逻辑的核心思想是通过引入隶属度函数来表示元素对某个集合的隶属程度，从而更好地模拟人类的思维方式。
Fuzzy logic is a mathematical tool for dealing with uncertainty and fuzziness that extends traditional two-valued logic (i.e., Boolean logic) to allow the concept of "partially true" or "partially false" to be used in the decision-making process. The core idea of fuzzy logic is to introduce membership function to represent the membership degree of elements to a certain set, so as to better simulate the way of human thinking.
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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] 许雷, 刘熠, 刘芳等. 基于MARCOS的二维语言直觉多属性群决策方法 [J]. 模糊系统与数学, 2022, 36(5): 128-141.
[3] 陈星彤, 张宁, 王轶楠等. 基于混合赋权和MARCOS模型的低碳园区综合效益评价研究 [J]. 智慧电力, 2024, 52(5): 23-30.
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