Operational System of Systems Capability Evaluation: A Information Granule-Based Capability Representation and Evaluation Method

The modern military confrontations often involve simultaneous activities such as electromagnetic warfare, network information warfare, and weapon firepower confrontation. These confrontations typically take the form of a system of systems (SoS), which is a complex system with diverse data types, large volumes of data, and intricate data transmission networks. To ensure absolute superiority in military confrontations, combat commanders must be able to extract knowledge from the complex SoS data and intuitively understand and evaluate its various capabilities in order to promptly implement appropriate command measures. This study proposes a granular description-based method for evaluating SoS capabilities to achieve rapid and intuitive cognition of SoS capabilities. The method aims to transform the problem of evaluating SoS capabilities into a granular modeling problem consisting of three stages: the first stageinvolveso rganizing t he S oS data a nd constructing a dataset encompassing SoS capability; the second stage focuses on constructing capability information granules; the third stage develops an information granule-based model using historical SoS data. Based on the SoS capability dataset generated by the constructed SoS-level combat confrontation simulation environment, a series of experiments concerning the generated dataset are implemented to exhibit the process and effect of the proposed granular-based evaluation method.

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Published
2024-09-20
DOI
https://doi.org/10.1109/aicit62434.2024.10730564
Primary Topic
Risk and Safety Analysis
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article
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article

Operational System of Systems Capability Evaluation: A Information Granule-Based Capability Representation and Evaluation Method

Wei‐Ming Zhang, Jingjing Yan, Chen Fu, Weidong Xiao
Risk and Safety Analysis
article

Operational System of Systems Capability Evaluation: A Information Granule-Based Capability Representation and Evaluation Method

Wei‐Ming Zhang, Jingjing Yan, Chen Fu, Weidong Xiao
article en

Abstract

The modern military confrontations often involve simultaneous activities such as electromagnetic warfare, network information warfare, and weapon firepower confrontation. These confrontations typically take the form of a system of systems (SoS), which is a complex system with diverse data types, large volumes of data, and intricate data transmission networks. To ensure absolute superiority in military confrontations, combat commanders must be able to extract knowledge from the complex SoS data and intuitively understand and evaluate its various capabilities in order to promptly implement appropriate command measures. This study proposes a granular description-based method for evaluating SoS capabilities to achieve rapid and intuitive cognition of SoS capabilities. The method aims to transform the problem of evaluating SoS capabilities into a granular modeling problem consisting of three stages: the first stageinvolveso rganizing t he S oS data a nd constructing a dataset encompassing SoS capability; the second stage focuses on constructing capability information granules; the third stage develops an information granule-based model using historical SoS data. Based on the SoS capability dataset generated by the constructed SoS-level combat confrontation simulation environment, a series of experiments concerning the generated dataset are implemented to exhibit the process and effect of the proposed granular-based evaluation method.

National University of Defense Technology (CN)
Openalex Percentile: Top 81%
Risk and Safety Analysis
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Operational System of Systems Capability Evaluation: A Information Granule-Based Capability Representation and Evaluation Method — Wei‐Ming Zhang, Jingjing Yan, et al. · (2024) | TGRS Research Map | TGRS