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Sensors and Materials, Volume 37, Number 9(3) (2025)
Copyright(C) MYU K.K.
pp. 4179-4194
S&M4175 Technical paper of Special Issue
https://doi.org/10.18494/SAM5683
Published: September 30, 2025

Decision-making Algorithms Based on Artificial Intelligence [PDF]

Jianlei Qian, Kun Wang, and Zonglin Li

(Received March 31, 2025; Accepted September 9, 2025)

Keywords: artificial intelligence, algorithms, decision-making, user experience, implementation

Advancements in AI technologies have transformed decision-making processes across various industries. However, effective AI technology usage necessitates an understanding of the capabilities of algorithms. Therefore, we explored how the effectiveness of AI analytics enhances decision-making capabilities. A structured questionnaire survey was conducted with 91 professionals across industries to assess user experience with AI analytics, perception of its effectiveness in decision-making, impact on decision-making effectiveness, and implementation challenges. The perception of its effectiveness scored 2.69, user experience with AI analytics scored 3.09, and decision-making effectiveness scored 3.73 on average. Challenges for the implementation of AI analytics showed a significant positive correlation with the perception of effectiveness in decision-making. Although the potential of AI analytics is widely recognized, challenges in addressing its implementation must be addressed. The findings of this study provide a basis for understanding how to effectively utilize AI technologies. The importance of integrating human expertise must be emphasized to enhance decision-making capability with the help of AI technologies.

Corresponding author: Jianlei Qian


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Cite this article
Jianlei Qian, Kun Wang, and Zonglin Li, Decision-making Algorithms Based on Artificial Intelligence, Sens. Mater., Vol. 37, No. 9, 2025, p. 4179-4194.



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