VAGUENESS AND UNCERTAINTY - A ROUGH SET PERSPECTIVE

Authors
Citation
Z. Pawlak, VAGUENESS AND UNCERTAINTY - A ROUGH SET PERSPECTIVE, Computational intelligence, 11(2), 1995, pp. 227-232
Citations number
22
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Journal title
ISSN journal
08247935
Volume
11
Issue
2
Year of publication
1995
Pages
227 - 232
Database
ISI
SICI code
0824-7935(1995)11:2<227:VAU-AR>2.0.ZU;2-R
Abstract
Vagueness and uncertainty have attracted the attention of philosophers and logicians for many years. Recently, AI researchers contributed es sentially to this area of research. Fuzzy set theory and the theory of evidence are seemingly the most appealing topics. On this note we pre sent a new approach, based on the rough set theory, for looking to the se problems. The theory of rough sets seems a suitable mathematical to ol for dealing with problems of vagueness and uncertainty. This paper is a modified version of the author's lecture titled ''An inquiry into vagueness and uncertainty,'' which was delivered at the Al Conference in Wigry (Poland), 1994.