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

Tongjie Bian, Kevin Kam Fung Yuen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationPIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
EditorsYinglin Wang, Xuelong Li, Hongming Cai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-118
Number of pages5
ISBN (Electronic)9781479920334
DOIs
Publication statusPublished - 2 Dec 2014
Event2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014 - Shanghai, China
Duration: 16 May 201418 May 2014

Publication series

NamePIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing

Conference

Conference2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014
Country/TerritoryChina
CityShanghai
Period16/05/1418/05/14

Keywords

  • bayesian network
  • decision making
  • evaluation
  • primitive cognitive network process

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