Schietekat, SunelleDe Waal, AltaGopaul, Kevin G2017-06-072017-06-072016-09Schietekat, S., De Waal, A. and Gopaul, K.G. 2016. Validation & verification of a Bayesian network model for aircraft vulnerability. 12th INCOSE SA Systems Engineering Conference, 12-14 September 2016, CSIR International Convention Centre, Pretoria, South Africa978-0-620-72719-8http://incose.org.za/pubs/2016/Papers/INCOSE_SA_2016_paper_7.pdfhttp://hdl.handle.net/10204/920912th INCOSE SA Systems Engineering Conference, 12-14 September 2016, CSIR International Convention Centre, Pretoria, South AfricaThis paper provides a methodology for Validation and Verification (V&V) of a Bayesian Network (BN) model for aircraft vulnerability against Infrared (IR) missile threats. The model considers that the aircraft vulnerability depends both on a missile’s performance as well as the doctrine governing the missile’s launch. The model is a Knowledge Based System (KBS) and therefore has a knowledge base which consists of both expert knowledge and simulated data which acts as input to the model and is used during inferencing to understand how variables interact. A widely accepted process to certify that a model is suitable for use is the Verification, Validation and Accreditation (VV&A) procedure and is followed in this paper. Throughout the V&V procedure, similarities are drawn between this VV&A process and the well-known Vee-model.enValidationVerificationBayesian NetworksKnowledge based systemsAircraft vulnerabilityInfraredInferencing12th INCOSE SA Systems Engineering Conference 2016Conference PresentationSchietekat, S., De Waal, A., & Gopaul, K. G. (2016). Validation & verification of a Bayesian network model for aircraft vulnerability. INCOSE. http://hdl.handle.net/10204/9209Schietekat, Sunelle, Alta De Waal, and Kevin G Gopaul. "Validation & verification of a Bayesian network model for aircraft vulnerability." (2016): http://hdl.handle.net/10204/9209Schietekat S, De Waal A, Gopaul KG, Validation & verification of a Bayesian network model for aircraft vulnerability; INCOSE; 2016. http://hdl.handle.net/10204/9209 .TY - Conference Presentation AU - Schietekat, Sunelle AU - De Waal, Alta AU - Gopaul, Kevin G AB - This paper provides a methodology for Validation and Verification (V&V) of a Bayesian Network (BN) model for aircraft vulnerability against Infrared (IR) missile threats. The model considers that the aircraft vulnerability depends both on a missile’s performance as well as the doctrine governing the missile’s launch. The model is a Knowledge Based System (KBS) and therefore has a knowledge base which consists of both expert knowledge and simulated data which acts as input to the model and is used during inferencing to understand how variables interact. A widely accepted process to certify that a model is suitable for use is the Verification, Validation and Accreditation (VV&A) procedure and is followed in this paper. Throughout the V&V procedure, similarities are drawn between this VV&A process and the well-known Vee-model. DA - 2016-09 DB - ResearchSpace DP - CSIR KW - Validation KW - Verification KW - Bayesian Networks KW - Knowledge based systems KW - Aircraft vulnerability KW - Infrared KW - Inferencing KW - 12th INCOSE SA Systems Engineering Conference 2016 LK - https://researchspace.csir.co.za PY - 2016 SM - 978-0-620-72719-8 T1 - Validation & verification of a Bayesian network model for aircraft vulnerability TI - Validation & verification of a Bayesian network model for aircraft vulnerability UR - http://hdl.handle.net/10204/9209 ER -