基于人机混合智能的决策系统设计与优化方法研究

Research on design and optimization method of decision system based on human machine hybrid intelligence

在信息社会中,决策的精确性和效率日益受到人们的重视。文章从人机混合智能的角度出发,探索了一种新型决策系统的设计与优化方法。其中,首先基于人的经验智慧与机器的强大计算能力提出了一套系统结构,其次详细描述了从决策输入、决策分级到结果分析的各核心模块。为了确保系统的实用性和可靠性,文章设计了一系列功能测试,并据此进行了决策算法、人机交互界面及系统性能的优化。研究结果显示,该决策系统不仅具有较快的处理速率,其在复杂决策场景下的准确率也达到了相当高的水平。

In the information society,the accuracy and efficiency of decision-making are increasingly valued by people.This article explores a new design and optimization method for decision-making systems from the perspective of humanmachine hybrid intelligence.Firstly,a system structure was proposed based on human experience and the powerful computing power of machines.Secondly,the core modules from decision input,decision grading to result analysis were described in detail.In order to ensure the practicality and reliability of the system,the article designed a series of functional tests and optimized decision algorithms,human-computer interaction interfaces,and system performance based on them.The research results show that the decision-making system not only has fast processing speed,but also achieves a relatively high level of accuracy in complex decision-making scenarios.