The Use of Soft Logic for Risk Evaluation in Defense System of Systems

Risk management is a crucial task in project management in light of the uncertainty that is almost always inherent. This phenomenon is enhanced in projects in the defense sector, due to their high complexity and their nature as system of systems (SoS). In general, traditional risk management approaches often fall short. To address this issue, this paper explores the utilization of soft logic to improve risk management methodologies in SoS. Soft logic can address the problem of representing contradictory situations. The proposed methodology, unlike the traditional one, does not collapse the variety of estimations into a single central value, thus, it is able to perform extreme evaluations as well. An empirical analysis was conducted by means of qualitative and quantitative approaches. The findings suggest that the methodology based on soft logic may enhance decision-making processes to handle risks more effectively.

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Publication Details

Journal
Mathematics
Published
2026-02-12
DOI
https://doi.org/10.3390/math14040641
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Use of Soft Logic for Risk Evaluation in Defense System of Systems

Ron S. Hirschprung, Sigal Kordova
Mathematics
Systems Engineering Methodologies and Applications
article

The Use of Soft Logic for Risk Evaluation in Defense System of Systems

Ron S. Hirschprung, Sigal Kordova
article en

Abstract

Risk management is a crucial task in project management in light of the uncertainty that is almost always inherent. This phenomenon is enhanced in projects in the defense sector, due to their high complexity and their nature as system of systems (SoS). In general, traditional risk management approaches often fall short. To address this issue, this paper explores the utilization of soft logic to improve risk management methodologies in SoS. Soft logic can address the problem of representing contradictory situations. The proposed methodology, unlike the traditional one, does not collapse the variety of estimations into a single central value, thus, it is able to perform extreme evaluations as well. An empirical analysis was conducted by means of qualitative and quantitative approaches. The findings suggest that the methodology based on soft logic may enhance decision-making processes to handle risks more effectively.

MathematicsVol. 14(4)
Ariel University (IL)
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Openalex Percentile: Top 59%
Systems Engineering Methodologies and Applications
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