Preferences and Similarities
Published on 19. October 2010
Book
Paperback/Softback
XII, 320 pages
978-3-211-99941-7 (ISBN)
Description
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.
More details
Series
Edition
1st ed. Softcover of orig. ed. 2008
Language
English
Place of publication
Vienna
Austria
Publishing group
Springer Wien
Target group
Professional and scholarly
Research
Illustrations
XII, 320 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
505 gr
ISBN-13
978-3-211-99941-7 (9783211999417)
DOI
10.1007/978-3-211-85432-7
Schweitzer Classification
Other editions
Additional editions
Giacomo Riccia | Didier Dubois | Hans-Joachim Lenz
Preferences and Similarities
E-Book
06/2009
1st Edition
Springer
€149.79
Available for download
Giacomo Riccia | Didier Dubois | Hans-Joachim Lenz
Preferences and Similarities
Book
09/2008
Springer
€160.49
Shipment within 10-15 days
Content
Similarity, Dominance, Fuzzy Logic and Efficiency.- Similarity of Fuzzy Sets and Dominance of Random Variables: a Quest for Transitivity.- A Logic-based View of Similarities and Preferences.- An overview of bipolar qualitative decision rules.- Uncertainty, Vagueness, Incompleteness, Truthlikeliness and Proximity.- Logical approaches to fuzzy similarity-based reasoning: an overview.- Logics of Similarity and their Dual Tableaux A Survey.- Proximities in Statistics: Similarity and Distance.- Similarity, Independence, Probability and Game Theory.- Similarity Relations and Independence Concepts.- Imprecision and Structure in Modelling Subjective Similarity.- Defensive Forecasting: How to Use Similarity to Make Forecasts That Pass Statistical Tests.- Argument-based Decision Making, Qualitative Preferences Reasoning, and Label Rankings.- Comparing decisions on the basis of a bipolar typology of arguments.- A Snapshot on Reasoning with Qualitative Preference Statements in AI.- Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants.- Constraints and Preferences: Modelling Frameworks and Multi-agent settings.