
Theory and Applications of Relational Structures as Knowledge Instruments
COST Action 274, TARSKI, Revised Papers
Springer (Publisher)
Published on 16. December 2003
Book
Paperback/Softback
VIII, 280 pages
978-3-540-20780-1 (ISBN)
Description
Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields.
The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.
More details
Series
Edition
2003 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 280 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
441 gr
ISBN-13
978-3-540-20780-1 (9783540207801)
DOI
10.1007/b94817
Schweitzer Classification
Other editions
Additional editions

Harrie de Swart | Ewa Orlowska | Gunther Schmidt
Theory and Applications of Relational Structures as Knowledge Instruments
COST Action 274, TARSKI, Revised Papers
E-Book
01/2004
Springer
€53.49
Available for download
Content
RelView and Rath - Two Systems for Dealing with Relations.- The GUHA Method and Foundations of (Relational) Data Mining.- Mechanised Reasoning and Model Generation for Extended Modal Logics.- Theory Extraction in Relational Data Analysis.- An Environment for Specifying Properties of Dyadic Relations and Reasoning about Them I: Language Extension Mechanisms.- Consistent Representation of Rankings.- Axiomatic and Strategic Approaches to Bargaining Problems.- Categoric and Ordinal Voting: An Overview.- Relational Models of Lambek Logics.- Approximation Operators in Qualitative Data Analysis.- Lattice-Based Relation Algebras and Their Representability.- Binary Multirelations.