TY - GEN
T1 - Towards a hybrid approach of primitive cognitive network process and Bayesian network for evaluation
AU - Bian, Tongjie
AU - Yuen, Kevin Kam Fung
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/2
Y1 - 2014/12/2
N2 - 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.
AB - 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.
KW - bayesian network
KW - decision making
KW - evaluation
KW - primitive cognitive network process
UR - http://www.scopus.com/inward/record.url?scp=84919327479&partnerID=8YFLogxK
U2 - 10.1109/PIC.2014.6972307
DO - 10.1109/PIC.2014.6972307
M3 - Conference Proceeding
AN - SCOPUS:84919327479
T3 - PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
SP - 114
EP - 118
BT - PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
A2 - Wang, Yinglin
A2 - Li, Xuelong
A2 - Cai, Hongming
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014
Y2 - 16 May 2014 through 18 May 2014
ER -