By Martin S. Feather (auth.), V. S. Alagar PhD, S. Bergler PhD, F. Q. Dong PhD (eds.)
The software program Engineering and Knowledgebase platforms (SOFfEKS) study team of the dep. of laptop technological know-how, Concordia college, Canada, equipped a workshop on Incompleteness and Uncertainty in details structures from October 8-9, 1993 in Montreal. an immense goal of the workshop used to be to compile researchers who proportion a priority for problems with incompleteness and uncertainty. The workshop attracted humans doing basic study and undefined orientated learn in databases, software program engineering and AI from North the United States, Europe and Asia. The workshop application featured six invited talks and twenty different displays. The invited audio system have been: Martin Feather (University of Southern CalifornialInformation structures Institute) Laks V. S. Lakshmanan (Concordia collage) Ewa Orlowska (Polish Academy of Sciences) z. Pawlak (Warsaw Technical collage and Academy of Sciences) F. Sadri (Concordia college) A. Skowron (Warsaw college) The papers could be categorised into 4 teams: tough units and good judgment, suggestion research, databases and knowledge retrieval, and software program engineering. The workshop opened with a hot welcome speech from Dr. Dan Taddeo, Dean, school of Engineering and desktop technological know-how. the 1st day's displays have been in tough units, databases and knowledge retrieval. Papers given at the moment day founded round software program engineering and thought research. adequate time was once given in among displays to advertise lively interactions and diverse energetic discussions. on the finish of 2 days, the contributors expressed their desire that this workshop will be continued.
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Additional info for Incompleteness and Uncertainty in Information Systems: Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8–9 October 1993
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An Essay in Modal Logic. pl 1 Introduction The idea of a rough set has been proposed by the author as a new mathematical tool to deal with vagueness and uncertainty. It seems to be of fundamental importance to AI and cognitive sciences, in particular expert systems, decision support systems, machine learning, machine discovery, inductive reasoning pattern recognition, decision tables and others. The rough set theory, besides its methodological significance, turn out to be very useful in practice and its importance to data analysis seems to be unquestionable.
Springer-Verlag, Berlin, Heidelberg, New York, 1984, pp 177-186 (Lecture notes in computer science no 208)  Orlowska E. Kripke models with relative accessibility. ICS PAS Reports 569, Warsaw, 1985  Orlowska E. Logic of nondeterministic information. Studia Logica XLIV, 1985; 93-102  Orlowska E. ic analysis of inductive reasoning. Theoretical Computer Science 1986;43:81-89  Orlowska E. Semantics of knowledge operators. Abstracts of the 8th Int'l Congress of Logic, Methodology, and Philosophy of Science, Moscow, 1987; (5)3:266-269.
Incompleteness and Uncertainty in Information Systems: Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8–9 October 1993 by Martin S. Feather (auth.), V. S. Alagar PhD, S. Bergler PhD, F. Q. Dong PhD (eds.)