Date: Sat, 26 Jun 1999 22:05:53 +0200 (MET DST) From: Jan Komorowski Jan.Komorowski@idi.ntnu.no Subject: Call for Contributions: Rough Set Data Analysis in Bio-medicine and Public Health Rough Set Data Analysis in Bio-medicine and Public Health Volume Editors: Jan Komorowski and Shusaku Tsumoto Series editor: Janusz Kacprzyk Series: "Studies in Fuzziness and Soft Computing" Springer-Verlag Group (Physica-Verlag, Heidelberg and New York) Call for Contributions http://www.idi.ntnu.no/~janko/rsinmed.html OBJECTIVES This volume seeks original articles in all areas of rough set data analysis of biomedical and other health related data. (Original is meant here to denote work that has not been previously published in journals or other collected books.) The objective of this book is to provide a representative and authoritative source of current research results and methodology in the area of rough set methods in biomedicine. BACKGROUND The analysis of medical, biological and health-related data has been one of the successful applications of rough sets (RS) that were introduced by Pawlak in 1981. There already exist several interesting examples that corroborate these claims. In some cases, the RS classifiers have given medical doctors new insight into their practice and training. The RS approach is rather attractive to the biomedical and public health communities since the synthesized models are of the white box-type (i.e. if-then rules) and are amenable to human inspection. An engaging property of RS is their natural and objective (data-relative) treatment of impreciseness and uncertainty. Some interesting publications related to RS may be found, for example, at http://alfa.mimuw.edu.pl/logic/ and http://www.idi.ntnu.no/IDT/grupper/KS-grp/
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