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International Journal of New Developments in Engineering and Society, 2023, 7(9); doi: 10.25236/IJNDES.2023.070911.

Research on the Intelligence of Correctional Facility Positioning System Based on ANP-Fuzzy

Author(s)

Xiao Du1, Fanliang Bu2

Corresponding Author:
Fanliang Bu
Affiliation(s)

1School of Information Network Security, People’s Public Security University of China, Beijing, China

2School of Information Network Security, People’s Public Security University of China, Beijing, China

Abstract

The intelligent prison represents an advanced stage in prison technology and information. The precision and sophistication of the personnel positioning system form a crucial foundation for the intelligent prison. This paper addresses the current lack of clear definition regarding the intelligence level of various elements in the public security prison positioning system. It tackles issues such as the complexity of interactions and the relatively simplistic evaluation methods. The proposed solution introduces a prison positioning system based on the ANP (network analysis method) - Fuzzy (fuzzy comprehensive evaluation) wisdom index system. Utilizing the network analysis method, the paper quantitatively analyzes the importance weights of each constraint positioning factor, providing an accurate reflection of mutual influences between different system levels. The fuzzy comprehensive evaluation method integrates qualitative and quantitative assessments to yield both intuitive and numerical results. The system advocates an operational approach to refine and quantify end-level indicators, offering an effective means to evaluate the intelligence level of the prison positioning system. This holds significant importance for intelligent prison construction, ensuring supervisory safety, and advancing the scientific and technological capabilities of law enforcement.

Keywords

ANP, Fuzzy, Public Security Prison, Super Decision

Cite This Paper

Xiao Du, Fanliang Bu. Research on the Intelligence of Correctional Facility Positioning System Based on ANP-Fuzzy. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 9: 65-76. https://doi.org/10.25236/IJNDES.2023.070911.

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