Knowledge and Uncertainty: A Rough Set Approach

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.

[1]  Cecylia Rauszer,et al.  Rough Logic for Multi-Agent Systems , 1992, Logic at Work.

[2]  Frederick Hayes-Roth,et al.  An interference matching technique for inducing abstractions , 1978, CACM.

[3]  Drew McDermott,et al.  The Last Survey of Representation of Knowledge , 1978, AISB/GI.

[4]  M. Black.  Vagueness. An Exercise in Logical Analysis , 1937, Philosophy of Science.

[5]  M. Kendall,et al.  The Logic of Scientific Discovery. , 1959 .

[6]  Douglas B. Lenat,et al.  Knowledge-based systems in artificial intelligence , 1981 .

[7]  Daniel G. Bobrow,et al.  On Overview of KRL, a Knowledge Representation Language , 1976, Cogn. Sci..

[8]  Kazimierz Głazek.  Some old and new problems in the independence theory , 1979 .

[9]  Janice S. Aikins,et al.  Prototypical Knowledge for Expert Systems , 1983, Artif. Intell..

[10]  Roman Słowiński,et al.  Intelligent Decision Support , 1992, Theory and Decision Library.

[11]  Z. Pawlak,et al.  Rough membership functions: a tool for reasoning with uncertainty , 1993 .

[12]  Ronald J. Brachman,et al.  Special issue on knowledge representation , 1980, SGAR.

[13]  Cecylia Rauszer,et al.  Approximation Methods for Knowledge Representation Systems , 1993, ISMIS.

[14]  J W Grzymala-Busse.  On the reduction of knowledge representation systems , 1987 .

[15]  Z. Pawlak.  Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[16]  Daniel G. Bobrow,et al.  A panel on knowledge representation , 1977, IJCAI 1977.

[17]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[18]  John H. Holland,et al.  Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.

[19]  Ewa Orlowska.  Logic For Reasoning About Knowledge , 1989, Math. Log. Q..

[20]  Jerzy W. Grzymala-Busse,et al.  Knowledge acquisition under uncertainty — a rough set approach , 1988, J. Intell. Robotic Syst..

[21]  Cecylia Rauszer.  Logic for information systems , 1992, Fundam. Informaticae.

[22]  Wojciech Ziarko.  Acquisition of design knowledge from examples , 1988 .

[23]  B. Russell.  An Inquiry into Meaning and Truth , 1942 .

[24]  M. Black.  Reasoning with Loose Concepts , 1963, Dialogue.

[25]  Patrick Henry Winston,et al.  The psychology of computer vision , 1976, Pattern Recognit..

[26]  J. Hintikka.  Knowledge and belief , 1962 .