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international seminar on rough set was held in Kiekrz Poland in 1991. The
conference focused on basic ideas of approximate definitions of set and its
applications, whereas fundamental research on machine learning in the context of
rough set was one of the four special topics of the conference. However, the
number of attendees to this conference and its impact was limited. 15 papers
were selected from the conference and were published on “Foundation of
Computing and Decision Sciences”, vol. 18, 1993. Hereafter, the international
seminar on rough set theory has been held regularly annually.
The second International seminar on rough set and knowledge discovery was
held in Banff Canada, 1993. The main topics of this conference are rough set,
fuzzy set and knowledge discovery. Since KDD was a popular research topic at
that time, some famous scholars in KDD attended the conference and introduced
many knowledge discovery methods and systems based on extended rough sets.
The third international conference on rough set and soft-computing was held in
San Jose USA in 1994. The syncretizing of rough set, fuzzy logics, neural
network and evolution theory is extensively discussed at this conference.
Advocators of rough set theory and its applications published a brief
introduction of rough set theory, one of the latest technologies in artificial
intelligence, on ACM transactions, vol. 11, 1995. Basic concepts and project
applications on knowledge acquisition, machine learning, decision analysis, and
knowledge discovery are introduced. Rough set seminar was held in Willmington
USA in 1995. The fourth international conference on fuzzy theory and
technology (Fuzzy Theory & Technology'95) is worth mentioning, since the
intense debate on the basic view points and relationship between rough set and
fuzzy set greatly enhanced the research on rough set. The first extensive seminar
on rough set in Asia is the fifth international rough set conference held in Tokyo
Japan, 1996. The Seventh International Workshop on Rough Sets, Fuzzy Sets,
Data Mining and Granular-Soft Computing (RSFDGRC'99) discussed
contemporary status and future trends of rough set and fuzzy set, and pointed out
that future development should focus on applications of soft-computing,
database, artificial intelligence and approximate reasoning, etc.
The second conference on current trends of rough set and computing was held
in Canada in October 2000. Currently literatures on rough set can be easily found
in many international conferences on AI, fuzzy set theory, information
management and knowledge discovery.
We must point out that rough set theory is not omnipotent. For modeling,
though rough set theory is effective for the handling of incomplete knowledge, it
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