A new form of knowledge representation and reasoning
暂无分享,去创建一个
Peng Wang | Yan Li | Hai-Jun Li | Ming-Hu Ha
[1] Eric C. C. Tsang,et al. A weighted fuzzy production rule evaluation method , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[2] J.W.T. Lee,et al. Refinement of generated fuzzy production rules by using a fuzzy neural network , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[3] Daniel S. Yeung,et al. Weighted fuzzy production rules , 1997, Fuzzy Sets Syst..
[4] Daniel S. Yeung,et al. A comparative study on similarity-based fuzzy reasoning methods , 1997, IEEE Trans. Syst. Man Cybern. Part B.
[5] Xiaoou Li,et al. Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[6] Jin-Fu Chang,et al. Knowledge Representation Using Fuzzy Petri Nets , 1990, IEEE Trans. Knowl. Data Eng..
[7] Shyi-Mig Chen,et al. A new approach to handling fuzzy decision-making problems , 1988, [1988] Proceedings. The Eighteenth International Symposium on Multiple-Valued Logic.
[8] Daniel S. Yeung,et al. A multilevel weighted fuzzy reasoning algorithm for expert systems , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[9] Slobodan Ribaric. Knowledge Representation Scheme Based on Petri Net Theory , 1988, Int. J. Pattern Recognit. Artif. Intell..
[10] Xiaoou Li,et al. Object oriented fuzzy Petri net for complex knowledge system modeling , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).
[11] Chin-Liang Chang,et al. Introduction to artificial intelligence techniques , 1985 .