Towards a hybrid approach of primitive cognitive network process and Bayesian network for evaluation

Evaluation is an essential step for decision making. This paper proposes a hybrid approach, named PCNP-BN, which combines the Primitive Cognitive Network Process (PCNP) and the Bayesian Network (BN) for evaluation activities. PCNP, which is an ideal alternative of the Analytic Hierarchy Process (AHP), helps to quantify the influence of factors, whilst Bayesian network is utilized to combine all the useful feedbacks. The proposed approach can support evaluation activities through quantifying complex factors into measurable values.