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Intelligent Decision Support : Handbook of Applications and Advances of the Rough Sets Theory - Roman Slowinski

Intelligent Decision Support

Handbook of Applications and Advances of the Rough Sets Theory

By: Roman Slowinski (Editor), Shi-Yu Huang (Editor)

Hardcover Published: 31st August 1992
ISBN: 9780792319238
Number Of Pages: 473

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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 of objects described by a set of attributes.
Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge.
The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit.
It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage.
The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Preface
Scope and goals of the book
Applications of the rough sets approach to intelligent decision support
LERS-a system for learning from examples based on rough setsp. 3
Rough sets in computer implementation of rule-based control of industrial processesp. 19
Analysis of diagnostic symptoms in vibroacoustic diagnostics by means of the rough sets theoryp. 33
Knowledge-based process control using rough setsp. 49
Acquisition of control algorithms from operation datap. 61
Rough classification of HSV patientsp. 77
Surgical wound infection - conducive factors and their mutual dependenciesp. 95
Fuzzy inference system based on rough sets and its application to medical diagnosisp. 111
Analysis of structure - activity relationships of quaternary ammonium compoundsp. 119
Rough sets-based study of voter preference in 1988 U.S.A. presidential electionp. 137
An application of rough set theory in the control of water conditions on a polderp. 153
Use of "rough sets" method to draw premonitory factors for earthquakes by emphasing gas geochemistry: the case of a low seismic activity context, in Belgiump. 165
Rough sets and some aspects of logic synthesisp. 181
Comparison with related methodologies
Putting rough sets and fuzzy sets togetherp. 203
Applications of fuzzy-rough classifications to logicsp. 233
Comparison of the rough sets approach and probabilistic data analysis techniques on a common set of medical datap. 251
Some experiments to compare rough sets theory and ordinal statistical methodsp. 267
Topological and fuzzy rough setsp. 287
On convergence of rough setsp. 305
Further developments
Maintenance of knowledge in dynamic information systemsp. 315
The discernibility matrices and functions in information systemsp. 331
Sensitivity of rough classification to changes in norms of attributesp. 363
Discretization of condition attributes spacep. 373
Consequence relations and information systemsp. 391
Rough grammar for high performance management of processes on a distributed systemp. 401
Learning classification rules from database in the context of knowledge-acquisition and -representationp. 419
'RoughDAS' and 'RoughClass' software implementations of the rough sets approachp. 445
Appendix: Glossary of basic conceptsp. 457
Subject Indexp. 461
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792319238
ISBN-10: 0792319230
Series: THEORY AND DECISION LIBRARY SERIES D, SYSTEM THEORY, KNOWLEDGE ENGINEERING, AND PROBLEM SOLVING
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 473
Published: 31st August 1992
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 24.13 x 15.88  x 3.18
Weight (kg): 0.84