期刊名称：International Journal of Computer Science and Engineering
印刷版ISSN：2278-9960
电子版ISSN：2278-9979
出版年度：2016
卷号：5
期号：2
页码：12
语种：English
出版社：IASET Journals
摘要：Association rules mining is to find associations efficiently among the different items of a transaction database. In order to help decision-makers conduct sound and timely solutions, we propose a two-phase fuzzy data mining method. The first phase generates fuzzy weights by managers evaluating each item via fuzzy analytic hierarchy process (FAHP); the second phase generates fuzzy association rules by mining frequent items from transaction database. An example is given to clearly illustrate the proposed approach.
