Earticle

초록

영어

In the context of mass customization, to address the issues about method based on Constraint Satisfaction Problem (CSP) in the field of product configuration, a combined product configuration method based on the CSP and Bayesian Network (BN) is proposed in this paper. On the basis of CSP and BN theory, a product configuration model established based on CSP and BN, and the specific method for solving was given, Including the reasoning on posterior probability by establishing the Bayesian Network model and the reasoning on Constraint Satisfaction Problem. Finally, to assemble the computer as an example, a configuration system of assembly computer product is developed so as to verify the feasibility and effectiveness.

목차

Abstract
 1. Introduction
 2. Related Concepts
  2.1 Constraint Satisfaction Problems
  2.2 Bayesian Network
 2. CSP-based Configuration Knowledge Representation with BN
  2.1 Configuring Model
  2.2 User Bayesian Network Model Construction
 3. Configuration Solution based on CSP and BN
  3.1 Configuration Solution Procedure
  3.2 Get the User's Preference
  3.3 The Solution of Five-tuple (X, D, C, Cu, Ce)
 4. Product Configuration Examples based on CSP and BN
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhiqiang Liu [ College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China ]
• Yila Su [ College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China ]
• Huimin Li [ College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China ]
• Fei Wang [ College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605