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今天小编为您带来精读期刊论文《基于区间直觉模糊数相关系数的多准则决策模型》的5.结束语。
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increase knowledge, and leave beautiful.
Dear, this is the LearingYard Academy!
Today, the editor brings the "5. closing remarks of the journal paper 'Multi-criterion decision model based on interval-intuitionistic fuzzy number correlation coefficient'".
Welcome to visit!
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《基于区间直觉模糊数相关系数的多准则决策模型》的5.结束语。
In this issue, the tweet will introduce the 5. closing remarks of the journal paper "Multi-criteria Decision Model Based on Interval Intuitionistic Fuzzy Number Correlation Coefficient" from three aspects: mind map, detailed reading content, and additional knowledge supplementation.
二、思维导图（Mind Mapping）
三、精读内容（Detailed Reading Content）
在这篇论文的结束语部分，作者首先介绍了本文的研究创新点：针对权重信息完全未知的区间直觉模糊数多准则决策问题，引入了区间直觉模糊数相关系数，克服了基于距离测度造成的信息混淆，并考虑到犹豫度的影响因素，能够最大程度降低信息损失。
In the concluding remarks of this paper, the author first introduces the research innovation: addressing the multi-criteria decision-making problem with interval intuitionistic fuzzy numbers where weight information is completely unknown. The author introduces interval intuitionistic fuzzy number correlation coefficients to overcome the information confusion caused by distance measures and considers the influence factors of hesitation degree, which can minimize information loss to the greatest extent.
接着，介绍本文的具体研究内容：通过以理想方案及临界方案为参照对象的基于区间直觉模糊数相关系数判断矩阵，构建了基于参照方案相关系数最大化的非线性目标规划模型，求解模型获得相应的准则权重，通过信息集结得到每个备选方案与理想方案及临界方案的加权相关系数，进而根据与理想方案的相对贴近度得到备选方案优先序。
Next, the specific research content of this paper is introduced: by using the ideal solution and the critical solution as reference objects, a judgment matrix based on interval intuitionistic fuzzy number correlation coefficients is constructed. A nonlinear objective programming model based on maximizing the correlation coefficients with reference solutions is developed to obtain the corresponding criterion weights. Through information aggregation, the weighted correlation coefficients between each alternative solution and the ideal solution as well as the critical solution are obtained, and then the priority order of alternative solutions is determined based on their relative closeness to the ideal solution.
最后介绍了本文的研究结果：该决策方法从决策者评价信息本身出发确定准则的权重，更能真实的反应决策者的意愿，也更忠于决策信息。
Finally, the research results of this paper are presented: the decision-making method determines the weights of criteria based on the evaluative information itself, which can more accurately reflect the decision-makers' intentions and is more faithful to the decision-making information.
四、知识补充——论文结束语（Knowledge Supplement - Conclusion of the Paper）
当编写期刊论文的结束语时，通常应包括以下几个部分：
When writing the conclusion of a journal paper, it should typically include the following parts:
1. 总结研究发现：简要总结研究的主要发现和结果。这部分应该回顾论文的主要目标，并指出是否达到了这些目标。
1. Summarize research findings: Briefly summarize the main findings and results of the study. This part should review the main objectives of the paper and indicate whether these objectives have been achieved.
2. 讨论意义和贡献：强调研究的意义和贡献，包括对该领域知识的贡献以及可能的应用价值。这也是对研究的重要性进行再次强调的机会。
2. Discuss significance and contributions: Emphasize the significance and contributions of the research, including contributions to the knowledge in the field and potential application value. This is also an opportunity to reiterate the importance of the research.
3. 展望未来研究：指出当前研究的局限性，并提出未来研究的建议或方向。这可以是对可能的进一步研究的提议，或者是指出现有研究所未解决的问题。
3. Outlook for future research: Point out the limitations of the current study and propose suggestions or directions for future research. This could be proposals for further research or pointing out unresolved issues in existing research.
4. 结论：总结整篇论文的内容，并强调研究的重要性和价值。结论应该简明扼要，回顾论文的核心内容，并强调其对该领域的贡献。
4. Conclusion: Summarize the content of the entire paper and emphasize the importance and value of the research. The conclusion should be concise, review the core content of the paper, and emphasize its contribution to the field.
通过这些部分，论文的结束语可以为读者提供对研究的完整理解，同时激发对未来研究的兴趣。
Through these parts, the conclusion of the paper can provide readers with a complete understanding of the research and stimulate interest in future research.
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参考资料：ChatGPT、百度百科
参考文献：
袁宇, 关涛, 闫相斌等. 基于区间直觉模糊数相关系数的多准则决策模型 [J]. 管理科学学报, 2014, 17(4): 11-18.
本文由LearningYard学苑整理并发出，如有侵权请在后台留言！
文案| Ann
排版| Ann
审核| Wei