Validation of the Explanatory Concept for Decision Support in Air-to-Air Combat

1997 ◽  
Vol 41 (1) ◽  
pp. 28-31
Author(s):  
Jeffrey L. Crick ◽  
Stephen J. Selcon ◽  
Maddalena Piras ◽  
Craig Shanks ◽  
Chris Drewery ◽  
...  
Keyword(s):  
Decision Support ◽  
Data Fusion ◽  
Graphical Representation ◽  
Ecological Validity ◽  
Graphical Displays ◽  
Air Combat ◽  
Control Version ◽  
Explanatory Concept ◽  
Military Pilots ◽  
Visual Range

A decision-support aid developed for use by pilots in air-to-air combat was evaluated in a simulated beyond-visual-range combat scenario in which military pilots competed against one another head-to-head. Combat performance was assessed on a range of operationally-valid measures with three different versions of a head-down display showing integrated information derived from data fusion. One version presented graphical, dynamic representations of both ownship's and the enemy's missile performance envelopes (launch success zones); another showed only the launch success zones of the enemy aircraft; and a third, control version showed neither form of graphical representation. Superior attacking performance was demonstrated with the display showing both ownship and enemy launch success zones, while more successful evasive performance was associated with the display showing only enemy launch success zones. Greater levels of situation understanding were associated with the display showing both ownship and enemy launch success zones. The results lend ecological validity to the use of explanatory graphical displays in providing decision support for pilots in air-to-air combat.

scholarly journals A Simple Fight Decision Support System for BVR Air Combat Using Fuzzy Logic Algorithm

AVIA ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Khairul Ummah ◽  
Herlan Setiadi ◽  
Hisar Manongam Pasaribu ◽  
Dhani Anandito
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Future Trend ◽  
Fuzzy Logic Algorithm ◽  
Air Combat ◽  
Direct Encounter ◽  
Visual Range

Beyond Visual Range (BVR) air combat is a future trend of war tactic. In this situation, a fighter can attack the opponent before direct encounter. Its complexity arises due to the necessity to take into account the information of target’s maneuver, the specification of the missile, and the advantage of fighter position. In this paper, a simple BVR air combat system has been developed to give a fight strategy for pilot. Some important parameters are considered, such as the distance and the azimuth position of the target’s as well as the range and the energy of missile to reach the target. The information is processed to determine the fighter supremacy and the opponent’s threat factor. The result of the processing is used as an input of fuzzy logic algorithm to determine the optimal fighting strategy. The feasibility of the model and validity of the algorithm are verified by simulation under two typical situations

scholarly journals Engagement Decision Support for Beyond Visual Range Air Combat

2021 ◽  
Author(s):  
Joao P. A. Dantas ◽  
Andre N. Costa ◽  
Diego Geraldo ◽  
Marcos R. O. A. Maximo ◽  
Takashi Yoneyama
Keyword(s):  
Decision Support ◽  
Air Combat ◽  
Visual Range

scholarly journals Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children's Perception of Urban School Environments

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 916 ◽  
Author(s):  
Abarca-Alvarez ◽  
Campos-Sánchez ◽  
Mora-Esteban
Keyword(s):  
Decision Support ◽  
Graphical Representation ◽  
Statistical Significance ◽  
Survey Analysis ◽  
Chi Square ◽  
Self Organizing Maps ◽  
Heat Map ◽  
Additional Information ◽  
Survey Results ◽  
Self Organizing

The interpretation of opinion and satisfaction surveys based exclusively on statistical analysis often faces difficulties due to the nature of the information and the requirements of the available statistical methods. These difficulties include the concurrence of categorical information with answers based on Likert scales with only a few levels, or the distancing of the necessary heuristic approach of the decision support system (DSS). The artificial neural network used for data analysis, called Kohonen or self-organizing maps (SOM), although rarely used for survey analysis, has been applied in many fields, facilitating the graphical representation and the simple interpretation of high-dimensionality data. This clustering method, based on unsupervised learning, also allows obtaining profiles of respondents without the need to provide additional information for the creation of these clusters. In this work, we propose the identification of profiles using SOM for evaluating opinion surveys. Subsequently, non-parametric chi-square tests were first conducted to contrast whether answer was independent of each profile found, and in the case of statistical significance (p ≤ 0.05), the odds ratio was evaluated as an indicator of the effect size of such dependence. Finally, all results were displayed in an odds and cluster heat map so that they could be easily interpreted and used to make decisions regarding the survey results. The methodology was applied to the analysis of a survey based on forms administered to children (N = 459) about their perception of the urban environment close to their school, obtaining relevant results, facilitating results interpretation, and providing support to the decision-process.

Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning

2020 ◽  
Author(s):  
Haiyin Piao ◽  
Zhixiao Sun ◽  
Guanglei Meng ◽  
Hechang Chen ◽  
Bohao Qu ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Air Combat ◽  
Visual Range

Development of an Air Combat Performance Measure

1988 ◽  
Vol 32 (18) ◽  
pp. 1207-1211
Author(s):  
Gary S. Thomas ◽  
David C. Miller
Keyword(s):  
Performance Feedback ◽  
Diagnostic Performance ◽  
Performance Measure ◽  
Regression Analyses ◽  
Rater Agreement ◽  
Air Combat ◽  
Measure Of Performance ◽  
Development And Validation ◽  
Neutral Posture ◽  
Visual Range

The purpose of this research was to formulate a unitary measure of performance for simulated one-versus-one, within visual range, air-to-air combat. The measure will serve as a criterion for the development and validation of specific measures of ACM skill that can be used to provide diagnostic performance feedback to pilots. Two experiments were conducted in which fighter pilots served as judges and rank-ordered, from most to least desirable, hypothetical ACM engagement outcomes. Outcome variables included (1) whether or not the hypothetical pilot achieved a “kill,” (2) whether or not he survived the mission, (3) the percent of time the pilot was in an offensive, defensive, or neutral posture, (4) length of engagement, and (5) posture at the beginning and end of the engagement (offensive, defensive, or neutral). In order to determine inter-rater agreement among judges in Experiment I, their rankings were correlated. Correlations ranged from .93 to .99. Pilots' rankings of engagement outcomes were subjected to linear regression analyses to derive equations that could be used as a unitary measure of ACM success. The regression equation in Experiment I accounted for 95% of the variance in rankings, and the composite regression model calculated in Experiment II accounted for more than 70% of the variance.

scholarly journals Cooperative Occupancy Decision Making of Multi-UAV in Beyond-Visual-Range Air Combat: A Game Theory Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 11624-11634
Author(s):  
Yingying Ma ◽  
Guoqiang Wang ◽  
Xiaoxuan Hu ◽  
He Luo ◽  
Xing Lei
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Theory Approach ◽  
Air Combat ◽  
Visual Range ◽  
Multi Uav

The Development and Application of Kinematic Icon and Inactive-Joint Concepts in Automated Mechanism Sketching

1988 ◽  
Vol 110 (1) ◽  
pp. 73-80 ◽  
Author(s):  
L. Wu ◽  
A. P. Pisano
Keyword(s):  
Graphical Representation ◽  
Synthesis Process ◽  
Kinematic Structure ◽  
Separate Entity ◽  
Type Synthesis ◽  
Graphical Displays ◽  
Link Type ◽  
First Time ◽  
Kinematic Joint

An important step within the automated type synthesis process is the generation of graphical displays of proposed mechanisms which permit designers to visualize the candidates. In this paper, the concepts of kinematic icon and inactive joint have been developed and applied to the problem of automatically generating sketches of mechanisms, given only the kinematic structure. Each different link type is treated as a separate entity: an icon, with its own predefined graphical representation. Moving-link icons, (as opposed to icons of fixed links) have special properties defined according to the joint types on the adjacent links. The locations, sizes, and orientations of the icons depend on the locations of the joints whose coordintaes may be directly assigned (in simple cases) using joint placement procedures. However, because the icons are defined by assigning a specific graphical representation to groupings of joints, and not just single joint, not all joints can be directly assigned their coordinates and this other class of kinematic joint is defined as an inactive joint. The kinematic icon and inactive joint concepts make possible the sketching of mechanisms with more complicated joint types such as prismatics and gears, for the first time in a systematic manner.

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