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Today, the editor brings you the 5. conclusion of the intensive reading journal paper "Multi-criteria Decision Making Model Based on Interval Intuitionistic Fuzzy Number Correlation Coefficient".
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Today, the editor brings the "5. closing remarks of the journal paper 'Multi-criterion decision model based on interval-intuitionistic fuzzy number correlation coefficient'".
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一、内容摘要（Content summary）
In this issue, we will introduce the conclusion of the intensive reading journal paper "Multi-criteria Decision Making Model Based on Interval Intuitionistic Fuzzy Number Correlation Coefficient" from three aspects: mind map, intensive reading content, and knowledge supplementation.
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）
In the concluding part of this paper, the author first introduces the research innovation of this paper: for the multi-criterion decision-making problem of interval intuitionistic fuzzy number where the weight information is completely unknown, the correlation coefficient of interval intuitionistic fuzzy number is introduced, which overcomes the information confusion caused by distance measurement, and considers the influencing factors of hesitation, which can minimize information loss.
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.
Then, the specific research content of this paper is introduced: through the interval intuitionistic fuzzy number correlation coefficient judgment matrix with the ideal scheme and the critical scheme as the reference object, a nonlinear objective programming model based on the maximization of the correlation coefficient of the reference scheme is constructed, the corresponding criterion weights are obtained by solving the model, and the weighted correlation coefficient of each alternative scheme and the ideal scheme and the critical scheme is obtained through information gathering, and then the priority of the alternative scheme is obtained according to the relative proximity to the ideal scheme.
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.
Finally, the results of this paper are introduced: the decision-making method determines the weight of the criterion from the decision-maker's evaluation information itself, which can more truly reflect the decision-maker's will and be more loyal to the decision-making information.
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）
When writing the conclusion of a journal article, it should generally include the following sections:
When writing the conclusion of a journal paper, it should typically include the following parts:
1. Summarize the findings: Briefly summarize the main findings and results of the study. This section should review the main objectives of the paper and indicate whether those objectives have been met.
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. Discuss the significance and contribution: Emphasize the significance and contribution of the research, including the contribution to the knowledge in the field and the possible application value. It is also an opportunity to re-emphasize the importance of research.
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. Looking forward to future research: point out the limitations of current research and propose suggestions or directions for future research. This could be a proposal for possible further research or an indication of an unresolved issue from existing research.
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. 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 highlight its contribution to the field.
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.
Through these sections, the conclusion of the dissertation can provide the reader with a complete understanding of the research while stimulating interest in future research.
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
Bibliography:
Yuan Yu, Guan Tao, Yan Xiangbin et al. Multi-criterion Decision Model Based on Correlation Coefficients of Interval Intuitionistic Fuzzy Numbers [J]. Journal of Management Science, 2014, 17(4): 11-18.
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