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Incomplete Information: Rough Set Analysis (Hardcover, 1998 ed.) Loot Price: R4,400
Discovery Miles 44 000
Incomplete Information: Rough Set Analysis (Hardcover, 1998 ed.): Ewa Orlowska

Incomplete Information: Rough Set Analysis (Hardcover, 1998 ed.)

Ewa Orlowska

Series: Studies in Fuzziness and Soft Computing, 13

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Loot Price R4,400 Discovery Miles 44 000 | Repayment Terms: R412 pm x 12*

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In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.

General

Imprint: Physica-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 13
Release date: November 1997
First published: November 1997
Editors: Ewa Orlowska
Dimensions: 235 x 155 x 34mm (L x W x T)
Format: Hardcover
Pages: 613
Edition: 1998 ed.
ISBN-13: 978-3-7908-1049-3
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory
Books > Computing & IT > Computer software packages > Computer graphics software > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-7908-1049-5
Barcode: 9783790810493

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