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Incomplete Information: Rough Set Analysis
other
Editor(s):
Ewa Orłowska
Publication date
(Print):
1998
Publisher:
Physica-Verlag HD
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Management Information Systems
Author and book information
Book
ISBN (Print):
978-3-7908-2457-5
ISBN (Electronic):
978-3-7908-1888-8
Publication date (Print):
1998
DOI:
10.1007/978-3-7908-1888-8
SO-VID:
d183198a-ebc0-4d24-acae-9e5131effe30
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Book chapters
pp. 1
Introduction: What You Always Wanted to Know about Rough Sets
pp. 23
Synthesis of Decision Rules for Object Classification
pp. 58
On the Lower Boundaries in Learning Rules from Examples
pp. 75
On the Best Search Method in the LEM1 and LEM2 Algorithms
pp. 95
Rough Sets and Algebras of Relations
pp. 109
Rough Set Theory and Logic-Algebraic Structures
pp. 193
Dependence Spaces of Information Systems
pp. 247
Applications of Dependence Spaces
pp. 293
Indiscernibility-Based Formalization of Dependencies in Information Systems
pp. 316
Dependencies between Many-Valued Attributes
pp. 347
Logical Analysis of Indiscernibility
pp. 381
Some Philosophical Aspects of Indiscernibility
pp. 399
Rough Mereology and Analytical Morphology
pp. 441
Similarity versus Preference in Fuzzy Set-Based Logics
pp. 462
A Logic for Reasoning about Similarity
pp. 492
Information Systems, Similarity Relations and Modal Logics
pp. 553
Axiomatization of Logics Based on Kripke Models with Relative Accessibility Relations
pp. 579
Rough Logics: A Survey with Further Directions
pp. 601
On the Logic with Rough Quantifier
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