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Fuzzy OLAP association rules mining-based modular reinforcement learning approach for multiagent systems.

, и . IEEE Trans. Syst. Man Cybern. Part B, 35 (2): 326-338 (2005)

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Fuzzy OLAP association rules mining-based modular reinforcement learning approach for multiagent systems., и . IEEE Trans. Syst. Man Cybern. Part B, 35 (2): 326-338 (2005)Efficient Automated Mining of Fuzzy Association Rules., , , и . DEXA, том 2453 из Lecture Notes in Computer Science, стр. 133-142. Springer, (2002)A Paper Recommendation System Based on User's Research Interests., , , и . ASONAM, стр. 911-915. IEEE Computer Society, (2018)Utilizing Fuzzy OLAP Mining Towards Novel Approach to Multiagent Modular Reinforcement Learning., и . IAT, стр. 197-203. IEEE Computer Society, (2004)Integrating Fuzziness with OLAP Association Rules Mining., и . MLDM, том 2734 из Lecture Notes in Computer Science, стр. 353-368. Springer, (2003)Genetic algorithms based optimization of membership functions for fuzzy weighted association rules mining., и . ISCC, стр. 110-115. IEEE Computer Society, (2004)Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules., и . IDEAL, том 3177 из Lecture Notes in Computer Science, стр. 758-764. Springer, (2004)Reinforcement Learning in Multiagent Systems: A Modular Fuzzy Approach with Internal Model Capabilities., и . ICTAI, стр. 469-. IEEE Computer Society, (2002)Identifying Extract Method Opportunities Based on Variable References (S)., и . SEKE, стр. 153-158. Knowledge Systems Institute Graduate School, (2013)Extension of neighbor-based link prediction methods for directed, weighted and temporal social networks., , и . Inf. Sci., (2018)