Del i serien CISM International Centre for Mechanical Sciences

Preferences and Similarities

Inbunden, Engelska, 2008

AvGiacomo Riccia,Didier Dubois,Hans-Joachim Lenz,Rudolf Kruse

2 139 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2008-09-23
Mått155 x 235 x 24 mm
Vikt670 g
FormatInbunden
SpråkEngelska
SerieCISM International Centre for Mechanical Sciences
Antal sidor320
Upplaga2008
FörlagSpringer Verlag GmbH
ISBN9783211854310

Tillhör följande kategorier

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.