Key Influencing Factors Identification in Complex Systems Based on Heuristic Causal Inference
In complex systems constrained by multiple factors, it is very important to identify the key influencing factors for mastering the evolution and development law of a system and for obtaining scientific decision-making suggestions or schemes. At present, the method based on experimental simulation is...
Main Authors: | Jianping Wu, Yunjun Lu, Dezhi Li, Wenlu Zhou, Jian Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/19/10575 |
Similar Items
-
Causal ML: Python package for causal inference machine learning
by: Yang Zhao, et al.
Published: (2023-02-01) -
Three analytical frameworks of causal inference and their applications
by: Zhong-gui MA, et al.
Published: (2022-07-01) -
Trend Analysis of Civil Aviation Incidents Based on Causal Inference and Statistical Inference
by: Peng He, et al.
Published: (2023-09-01) -
Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
by: Mi Jin Noh, et al.
Published: (2025-01-01) -
Data-based intervention approach for Complexity-Causality measure
by: Aditi Kathpalia, et al.
Published: (2019-05-01)