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Restoring incomplete PUMLPRs for evaluating the management way of online public opinion
Information Sciences Pub Date : 2019-12-20 , DOI: 10.1016/j.ins.2019.12.030
Wanying Xie , Zeshui Xu , Zhiliang Ren , Enrique Herrera Viedma

In the age of big data explosion, the management of online public opinion has encountered great challenges. Which way can effectively manage online public opinion has become a decision-making question for us to think about. Probabilistic uncertain multiplicative linguistic preference relations (PUMLPRs) are a remarkable instrument to solve uncertain evaluation problems. This paper uses the PUMLPRs to assess the management ways of the online public opinion. Owing to the intricacy of decision-making domain, the PUMLPRs are not always complete. We get the complete PUMLPRs in two steps: the repair for uncertain multiplicative linguistic variables and the repair for probability. Moreover, the consistency of the complete PUMLPRs is researched. Then the final priorities are obtained by the proposed possibility degree formula. After that, the numerical example that helps assess the valid way to manage online public opinion is performed to check the feasibility of the proposed decision-making procedure.



中文翻译:

恢复不完整的PUMLPR,评估在线舆论的管理方式

在大数据爆炸时代,在线舆论的管理面临着巨大的挑战。哪种方法可以有效地管理在线舆论已成为我们思考的决策问题。概率不确定性乘法语言偏好关系(PUMLPR)是解决不确定性评估问题的出色工具。本文利用PUMLPRs来评估网络舆情的管理方式。由于决策领域的复杂性,PUMLPR并不总是完整的。我们分两步获得完整的PUMLPR:修复不确定的乘法语言变量和修复概率。此外,研究了完整的PUMLPR的一致性。然后,通过提出的可能性度公式获得最终优先级。之后,

更新日期:2019-12-20
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