Intelligent Decision Support Handbook of Applications and Advances o
Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record o
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THEORY AND DECIS ION LIBRARY
General Editors: W. Leinfellner (Vienna) and G. Eberlein (Munich) Series A: Philosophy and Methodology of the Social Sciences Series B: Mathematical and Statistical Methods Series C: Game Theory, Mathematical Programming and Operations Research Series D: System Theory, Knowledge Engineering and Problem Solving
SERIES D: SYSTEM THEORY, KNOWLEDGE ENGINEERING AND PROBLEM SOLVING VOLUME 11 Editor: R. Lowen (Antwerp); Editorial Board: G. Feichtinger (Vienna), G. J. Klir (New York) O. Opitz (Augsburg), H. J. Skala (paderbom), M. Sugeno (Yokohama), H. J. Zimmermann (Aachen). Scope: Design, study and development of structures, organizations and systems aimed at formal applications main1y in the social and human sciences but also relevant to the information sciences. Within these bounds three types of study are of particular interest. First, formal definition and development of fundamental theory and/or methodology, second, computational and/or algorithmic implementations and third, comprehensive empirical studies, observation or case studies. Although submissions of edited collections will appear occasionally, primarily monographs will be considered for publication in the series. To emphasize the changing nature of the fields of interest we refrain from giving a cIear delineation and exhaustive list of topics. However, certainly incIuded are: artificial intelligence (incIuding machine leaming, expert and knowledge based systems approaches), information systems (particularly decision support systems), approximate reasoning (incIuding fuzzy approaches and reasoning under uncertainty), knowledge acquisition and representation, mode ling, diagnosis, and control.
The titles published in this series are listed at the end ofthis volume.
INTELLIGENT DECIS ION SUPPORT Handbook of Applications and Advances ofthe Rough Sets Theory
Edited by
ROMAN SLOWrNSKI Institute ofComputing Science. Technical University of Poznafz, Polami
SPRINGER-SCIENCE+BUSINESS MEDIA, B.V.
Library of Congress Cataloging-ill-Publication Data
ISBN 978-90-481-4194-4 ISBN 978-94-015-7975-9 (eBook) DOI 10.1007/978-94-015-7975-9
Printed on acid-free paper
AII Rights Reserved © 1992 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 1992 Softcover reprint of the hardcover 1st edition 1992 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, inc1uding photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner.
CONTENTS
Preface
Z. PAWLAK
Scope and goals of the book R. SLOWn~SKI Part 1.
IX
xiii
AppIications of the rough sets approach to intelligent decision support
Chapter 1.
Chapter 2.
Chapter 3.
LERS-a system for leaming from examples based on rough sets J.W. GRZYMALA-BUSSE
3
Rough sets in computer implementation of rule-based control of industrial processes A. MROZEK
19
Analysis of diagnostic symptoms in vib
