원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.4
2015.04
pp.289-296
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보