School of Information Technology and Management, Hunan University of Finance and Economics, No.139, Section 2, Fenglin Road, Yuelu District, Changsha, 410205, China.
Sci Rep. 2022 Feb 28;12(1):3246. doi: 10.1038/s41598-022-07183-7.
A multi-attribute group decision-making (MAGDM) method based on intuitionistic fuzzy preference information is proposed for the multi-attribute intuitionistic fuzzy group decision-making problem where the decision-makers weight and attribute weight are completely unknown and the decision-maker has preference information for the scheme. Firstly, an intuitionistic fuzzy interval judgment matrix is established to describe the original data of the key decision indicators for multiple network public opinion emergencies that erupt simultaneously. Secondly, the attribute weights are determined based on the improved intuitionistic fuzzy entropy construction method, and the expert weights are determined by using objective decision information, taking into account the intuitionistic fuzzy entropy of decision matrix. MAGDM can not only synthesize experts' professional experience in different aspects, but also avoid experts' decision-making errors caused by insufficient domain knowledge. It is necessary to continuously adjust the expert weight based on decision-making information to make the comprehensive decision-making information more accurate. Thirdly, a scheme preference model and an attribute weight optimization model are established to determine the ranking method of intuitionistic fuzzy interval values. Then, a modified distance measure of intuitionistic fuzzy sets (IFSs) is introduced to make the evaluation result more accurate and reasonable when it comes to solving the deviation between the evaluation value and ideal solution of each scheme. Finally, the effectiveness and practicability of the proposed decision-making method are verified by an example of emergency crisis severity, It assists decision makers in selecting and implementing the optimal emergency response plan in a timely and efficient manner, which improves the emergency treatment efficiency of network public opinion crisis, helps emergency departments to better deal with the network public opinion crisis, improves the ability of public opinion guidance and control, and provides a new method and idea for multi-attribute intuitionistic fuzzy group decision-making problem.
提出了一种基于直觉模糊偏好信息的多属性群决策方法（MAGDM），用于多属性直觉模糊群决策问题，其中决策者权重和属性权重完全未知，决策者对方案具有偏好信息。首先，建立直觉模糊区间判断矩阵，以描述同时爆发的多个网络舆情突发事件的关键决策指标的原始数据。其次，基于改进的直觉模糊熵构造方法确定属性权重，并利用客观决策信息确定专家权重，同时考虑决策矩阵的直觉模糊熵。MAGDM 不仅可以综合专家在不同方面的专业经验，还可以避免专家因领域知识不足而导致的决策错误。有必要根据决策信息不断调整专家权重，以使综合决策信息更加准确。第三，建立方案偏好模型和属性权重优化模型，确定直觉模糊区间值的排序方法。然后，引入改进的直觉模糊集（IFS）距离度量方法，在解决每个方案的评价值与理想解之间的偏差时，使评价结果更加准确合理。最后，通过一个紧急危机严重程度的实例验证了所提出的决策方法的有效性和实用性，它可以帮助决策者及时有效地选择和实施最佳应急响应计划，提高网络舆情危机的应急处理效率，帮助应急部门更好地应对网络舆情危机，提高舆论引导和控制能力，为多属性直觉模糊群决策问题提供了一种新的方法和思路。
