Fuzzy Logic and Bayesian Networks Based SAS in Air-to-Air Combat Scenarios

Kashyap, SK and Rao , P Narayana and Girija, G (2007) Fuzzy Logic and Bayesian Networks Based SAS in Air-to-Air Combat Scenarios. Technical Report. NAL.

[img] PDF
PDFC_0706.pdf - Published Version
Restricted to Registered users only

Download (861kB)


Situation Assessment System (SAS) is implemented using Fuzzy logic and Bayesian network (BN) hybrid technique to find out the exact situation in an air-to-air combat scenario, which helps the pilot to take correct and quick decision. The capability of SAS has been demonstrated by simulating a typical air-to-air combat scenario. It is observed that the BN based on several agents were able to accomplish the job assigned with fairly good amount of precision. However, further improvement of SAS performance is envisaged by fine-tuning of entries of Conditional Probability Tables corresponding to different agents with the help of experienced pilots for typical combat scenarios

Item Type: Monograph (Technical Report)
Subjects: MATHEMATICAL AND COMPUTER SCIENCES > Cybernetics, Artificial Intelligence and Robotics
Depositing User: Dr Sudesh Kumar Kashyap
Date Deposited: 07 Jul 2010 06:01
Last Modified: 07 Jul 2010 06:01
URI: http://nal-ir.nal.res.in/id/eprint/8498

Actions (login required)

View Item View Item