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Orlowska

Incomplete Information: Rough Set Analysis

Medium: Buch
ISBN: 978-3-7908-1049-3
Verlag: Physica
Erscheinungstermin: 27.11.1997
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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.

Produkteigenschaften

  • Artikelnummer: 9783790810493
  • Medium: Buch
  • ISBN: 978-3-7908-1049-3
  • Verlag: Physica
  • Erscheinungstermin: 27.11.1997
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 1997
  • Serie: Studies in Fuzziness and Soft Computing
  • Produktform: Gebunden
  • Gewicht: 2330 g
  • Seiten: 613
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

1 Introduction: What You Always Wanted to Know about Rough Sets.- I Rough Sets and Decision Rules.- 2 Synthesis of Decision Rules for Object Classification.- 3 On the Lower Boundaries in Learning Rules from Examples.- 4 On the Best Search Method in the LEM1 and LEM2 Algorithms.- II Algebraic Structure of Rough Set Systems.- 5 Rough Sets and Algebras of Relations.- 6 Rough Set Theory and Logic Algebraic Structures.- III Dependence Spaces.- 7 Dependence Spaces of Information Systems.- 8 Applications of Dependence Spaces.- IV Reasoning about Constraints.- 9 Indiscernibility-Based Formalization of Dependencies in Information Systems.- 10 Dependencies between Many-Valued Attributes.- V Indiscernibility-Based Reasoning.- 11 Logical Analysis of Indiscernibility.- 12 Some Philosophical Aspects of Indiscernibility.- 13 Rough Mereology and Analytical Morphology.- VI Similarity-Based Reasoning.- 14 Similarity versus Preference in Fuzzy Set-Based Logics.- 15 A Logic for Reasoning about Similarity.- 16 Information Systems, Similarity Relations and Modal Logics.- VII Extended Rough Set-Based Deduction Methods.- 17 Axiomatization of Logics Based on Kripke Models with Relative Accessibility Relations.- 18 Rough Logics: A Survey with Further Directions.- 19 On the Logic with Rough Quantifier.