The Enactment of Optimal Target Value in Power Plant Operation Based on Language Association Rule
YU Xi-ning, Cheng-lin Niu, Jianqiang Li · 2005
This paper proposed language association rule and applied it to mining optimal target value in power plant operation. In language association rule, quantitative attributes are partitioned into several fuzzy sets by FCM algorithm, then the algorithm for mining Boolean association rules is improved to discover frequent attributes. Last, association rule with least confidence are generated to decide the optimal target value of operation parameters. Experiments and theory calculating show that this algorithm is effective and practical.