Title :
Fuzzy Path-Query Algorithm and its Application in PX Absorption and Separation Process
Author :
Jia, Ren ; Meizhen, Lei ; Zhang Yibo
Author_Institution :
Zhejiang Sci-Tech Univ., Hangzhou
Abstract :
With the development of data mining technology and theory, data mining in complex industry process has become the hot topic of engineers and researchers in this field. However, because of its inherent characters, the research of data mining in this field has faced a series of bottlenecks. One is how to find a proper way that can not only discover the excellent operating information but also output the obtained knowledge in a simple and practical way. On this background, a novel data mining solution to complex industry process named fuzzy rule path-query system was proposed and discussed. The construction process of fuzzy rule path-query system was discussed, as well as its application in PX absorption and separation process. The practical application demonstrates that the novel system is really a good solution to data mining in complex industry process.
Keywords :
absorption; data mining; fuzzy set theory; production engineering computing; separation; PX absorption; data mining; fuzzy path-query algorithm; industry process; separation process; Absorption; Automation; Construction industry; Data engineering; Data mining; Distributed control; Electronic mail; Fuzzy systems; Mining industry; Separation processes; complex industry process; data mining; fuzzy system; operation optimization;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347174