Multiconstraint prediction is a research hotspot and difficulty in the Internet of Things. Aiming at the main problems existing in the process of multiconstraint fuzzy prediction, this paper studies the related key technologies and methods and proposes an improved multiconstraint fuzzy prediction analysis algorithm in the application of Internet of Things. This paper introduces the multiconstraint attribute analysis, multiconstraint attribute normalization processing, multiconstraint attribute weight processing, multiconstraint attribute prediction analysis granularity setting, etc. and systematically calculates the ambiguity of multiconstraint attributes and realizes the multiconstraint fuzzy prediction analysis algorithm. Finally, combined with relevant cases, the algorithm is compared with the existing research results, which shows the effectiveness and feasibility of the algorithm in the Internet of Things.

中文翻译：

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多约束模糊预测分析改进了物联网中的算法

多约束预测是物联网领域的一个研究热点和难点。针对多约束模糊预测过程中存在的主要问题，研究了相关关键技术和方法，提出了一种改进的物联网应用多约束模糊预测分析算法。本文介绍了多约束属性分析、多约束属性归一化处理、多约束属性权重处理、多约束属性预测分析粒度设置等，系统地计算了多约束属性的模糊度，实现了多约束模糊预测分析算法。最后结合相关案例，将算法与已有的研究成果进行对比，