智能控制决策整合模糊性和随机性,用于自动管理现金流
Hongli Wang1, Liguo Fei2, Yuqiang Feng1,3
1School of Economics and Trade, Fujian Jiangxia University, Fuzhou, Fujian, China.
PloS one
|March 1, 2024
概括
本研究引入了一种新的云集控制方法,用于自动现金流管理,提高效率和准确性. 该方法有效地整合了人类决策的模糊和随机元素,优于传统的模糊控制.
科学领域:
- 网络学就是网络学.
- 计算智能是一种计算智能.
背景情况:
- 现金流管理的传统模糊控制方法不足以解决人类认知中固有的随机性.
- 准确高效的现金流管理需要能够处理模糊变量和随机变量的方法.
研究的目的:
- 为自动现金流管理提出一种新的云集控制决策方法.
- 通过将随机性与模糊性相结合,解决传统模糊控制的局限性.
主要方法:
- 云集理论的描述,包括它的I和P运算.
- 开发观察和控制变量的方法,规则描述和云推理.
- 将云集控制方法应用于自动现金流管理.
主要成果:
- 拟议的云集控制方法已成功应用于自动现金流管理.
- 实现了2.285的支出强度控制金额.
- 该方法通过考虑模糊和随机性质,证明了在获得合理的对照量方面的有效性.
结论:
- 云集控制方法为现金流管理提供了更大的客观性和有效性.
- 这种方法成功地整合了人类认知和决策的模糊和随机方面.
- 拟议的方法代表了自动现金流管理系统的进步.
更多相关视频
相关概念视频
Decision Making
109
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
109
Reason and Intuition
6.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Control Systems
1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.1K
Decision Making: Traditional Method
4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Load-frequency control
162
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
162


