摘要：The authors have been coping with new computational methodologies such as rough sets, information incompleteness, data mining, granular computing, etc., and developed some software tools on association rules as well as new mathematical frameworks. They simply term this research Rough sets Non-deterministic Information Analysis (RNIA). They followed several novel types of research, especially Pawlak's rough sets, Lipski's incomplete information databases, Orłowska's non-deterministic information systems, Agrawal's Apriori algorithm. These are outstanding researches related to information incompleteness, data mining, and rule generation. They have been trying to combine such novel researches, and they have been trying to realise more intelligent rule generator handling data sets with information incompleteness. This study surveys the authors’ research highlights on rule generators, and considers a combination of them.
关键词：Rough sets Nondeterministic Information Analysis; authors; rule generators; nondeterministic information systems; Apriori-based rule generation; incomplete information databases; association rules; novel researches; outstanding researches; table data sets; computational methodologies; data mining; granular computing; Apriori algorithm; intelligent rule generator; information incompleteness
