Air superiority and battlefield victory

Saunders, Richard J; Souva, Mark

doi:10.1177/2053168020972816

Cited by 8 publications

(2 citation statements)

References 19 publications

(20 reference statements)

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“…This model, which remains unpublished, bears resemblance to Simon's model and is frequently employed by military researchers to facilitate decision-making processes. Saunders and Souva's [15] methodology was predicated on empirical evidence indicating that American pilots achieved a higher rate of success in aerial combat despite being at a disadvantage in terms of firepower during World War II. This advantage stemmed from the pilot's increased likelihood of early enemy detection in the initial phase of observation, affording them additional time to effectively assess and respond to the imminent threat.…”

Section: Basics Of Human Decision Makingmentioning

confidence: 99%

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Wang,

Liang

2023

JEBI

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The act of decision-making lies at the core of human existence and shapes our interactions with the surrounding environment. This article investigates the utilization of artificial intelligence (AI) techniques in the advancement of intelligent decision support systems (IDSS). It builds upon prior research conducted in the decision-making field and the subsequent development of decision support systems (DSS) based on that knowledge. The initial establishment of the fundamental principles of classical DSS is undertaken. The subsequent emphasis is directed towards the integration of artificial intelligence techniques within IDSS. The evaluation of an IDSS, as well as any other DSS, is a crucial undertaking in order to gain insights into the system's capabilities and identify areas that require enhancement. This article presents a review conducted on this significant yet insufficiently investigated subject matter. When utilized in conjunction with DSS, AI techniques such as intelligent agents, artificial neural networks (ANN), evolutionary computing, case-based reasoning, and fuzzy logic provide valuable assistance in defining complex practical challenges, which are mostly time-critical, encompass extensive and scattered data, and can derive advantages from sophisticated reasoning.

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Section: Basics Of Human Decision Makingmentioning

confidence: 99%

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Wang,

Liang

2023

JEBI

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“…When planes first appeared on the battlefield in the early twentieth century, not only was aerial combat invented, but land battle was changed forever, as soldiers now had to account for what was happening over their heads. 53 In the West, this awareness has diminished in recent years, due to the West's total aerial superiority in virtually every conflict of the last 40 years.…”

Section: Nonlethal Air Supportmentioning

confidence: 99%

The "Big Three" Revisited: Initial Lessons from 200 Days of War in Ukraine

Henkin¹

2022

ExpwMCUP

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This article deals with the tactical lessons of the first six months of the Russian war in Ukraine. The war, which has sent seismic shocks throughout the world, was conceived by many to be a new kind of conflict, with innovative, high-technology weapons and equipment bringing a sea change to the history of warfare. However, a closer look shows a more nuanced picture. While there are many lessons to be learned from this war, it is not as much a break with the past as it is a continuation of it. For all the technology being introduced, not only do tactics remain important, but the war itself is closer in many aspects to the “classic” wars of the twentieth century than to any futuristic concept of warfare.

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Surveillance is the first step to preventing injury among fast jet aircrew: results of a 2-year prospective cohort study

Wallace,

Osmotherly,

Gabbett

et al. 2023

Occup Environ Med

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ObjectivesInjury surveillance is imperative for injury prevention but difficult in military populations. Our objective was to accurately describe the pattern of musculoskeletal complaints among Royal Australian Air Force (RAAF) fast jet aircrew (FJA) using the validated University of Canberra Fast Jet Aircrew Musculoskeletal Questionnaire (UC-FJAMQ) over a 2-year period, and determine injury burden on the workforce and operational capability.Methods306 RAAF FJA were monitored over a 2-year period (4×5 month reporting periods). Musculoskeletal complaint episodes (MCEs) were captured weekly using the UC-FJAMQ. Time loss episodes (TLEs) were captured from the UC-FJAMQ and injury registers completed by embedded physiotherapists. Cumulative severity and operational impact scores from the UC-FJAMQ, and time loss duration, were used to describe severity and calculate burden.ResultsMean weekly UC-FJAMQ response rate was 62%. 1012 MCEs were captured, with a mean weekly prevalence of 14.9% (95% CI 14.2–15.6), and incidence of 4.1 episodes per person-year (95% CI 3.9–4.4). A total of 145 TLEs were captured, with a mean 5-month prevalence of 12.4% (range 8.9–15.3%), and incidence of 0.37 episodes per person-year (95% CI 0.31–0.43). Spinal regions accounted for 81% of MCEs and contributed 76% and 85% of burden in relation to cumulative severity and operational impact, respectively. 57% of TLE burden came from spinal regions.ConclusionsDespite modest weekly UC-FJAMQ response rates, musculoskeletal complaints were shown to be widespread and negatively impact operational capability. Future injury prevention efforts among FJA should focus on spinal regions, particularly the neck.

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Air superiority and battlefield victory

Cited by 8 publications

References 19 publications

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

The "Big Three" Revisited: Initial Lessons from 200 Days of War in Ukraine

Surveillance is the first step to preventing injury among fast jet aircrew: results of a 2-year prospective cohort study

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