Preferences and Similarities

ISBN-13: 9783211999417 / Angielski / Miękka / 2010 / 320 str.

Giacomo Riccia

Opis

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.

Spis treści

Chapter 1: Similarity, Dominance, Fuzzy Logic and Efficiency B. De Baets: Similarity of Fuzzy Sets and Dominance of Random Variables: A Quest for Transitivity E. Ruspini: A Logic-Based View of Similarities and Preferences J.-F. Bonnefon, D. Dubois and H. Fargier: An Overview of Bipolar Qualitative Decision Rules Chapter 2 : Uncertainty, Vagueness , Incompleteness, Truthlikeliness and Proximity L. Godo, R.O. Rodriguez: Logical Approaches to Similarity-based Reasoning: an Overview Golinska-Pilarek, E. Orlowska: Logics of Similarity and Their Dual Tableaux. A Survey H.-J. Lenz: Proximities in Statistics: Similarity and Distance Chapter 3: Similarity, Independence, Probability and Game Theory F. Klawonn, R. Kruse: Similarity Relations and Independence Concepts T. Sudkamp: Imprecision and Structure in Modelling Subjective Similarity G. Shafer: Defensive Forecasting Chapter 4 : Argument-based Decision Making, Qualitative Preferences Reasoning, and Label Rankings L. Amgoud, H. Prade: Comparing Decisions on the Basis of a Bipolar Typology of Arguments C. Domshlak: A Snapshot on Reasoning with Qualitative preference Statements in AI E. Hüllermeier, J. Fürnkranz: Learning Preference Models from Data: On the Problem of Label Rankings and its Variants F. Rossi: Modelling Frameworks and Multi-Agent Settings

O autorze

Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.