Abstract
In order to provide more efficient knowledge services in the CNC turret design process, a rapid design method of a case-based reasoning is proposed. Firstly, according to different types of demand in case retrieval, the similarity measurement models for crisp and fuzzy attribute type demands are constructed respectively. Secondly, in the weights assignment, this paper utilized the deviation information of similarity values to calculate objective weights, and then combined the objective weights and subjective weights to form synthesis weights. Finally, the similarity measurement and weights coefficient assignment methods were applied in a CNC turret design CBR system, and using the calculation function of MATLAB. It was demonstrated that this method could improve the accuracy of case retrieval.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
1. B. Bouchon-Meunier, M. Ramdani, L. Valverde, Fuzzy logic, inductive and analogical reasoning, Proc. Fuzzy Logic in Artificial Intelligence Workshop, IJCAI'93, Springer, Berlin, 1994, 38–50.
2. Mantaras R L, Plaza E. Case-based reasoning: an overview. AI Communications, 1997, 10: 21~29.
3. LI Jun-jun, QI Jin, HU Jie, et al. Similarity measurement method based on membership function and its application. Application Research of Computers, 2010, 27(3): 891-893.
4. Chen S M, Yeh M S, Hsiao P Y. A comparison of similarity measures of fuzzy values. Fuzzy Sets and Systems, 1995, 72(1): 79-89.
5. Liao T W, Zhang Z M, Mount C R. Similarity measures for retrieval in case-based reasoning systems. Applied Artificial Intelligence. 1998, 12(4), 267-288.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献