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Preferences and Similarities

  • Book
  • © 2008

Overview

Editors:
  1. Giacomo Riccia

    1. University of Udine, Udine, Italy

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  2. Didier Dubois

    1. University of Toulouse, France

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  3. Rudolf Kruse

    1. University of Magdeburg, Magdeburg, Deutschland

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  4. Hans-Joachim Lenz

    1. Freie Universität Berlin, Berlin, Deutschland

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Part of the book series: CISM International Centre for Mechanical Sciences (CISM)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
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  2. Similarity, Dominance, Fuzzy Logic and Efficiency

    1. Similarity of Fuzzy Sets and Dominance of Random Variables: a Quest for Transitivity

      • Bernard De Baets
      Pages 1-22

    2. A Logic-based View of Similarities and Preferences

      • Enrique H. Ruspini
      Pages 23-46

    3. An overview of bipolar qualitative decision rules

      • Jean-Francois Bonnefon, Didier Dubois, Hélène Fargier
      Pages 47-73

  3. Uncertainty, Vagueness, Incompleteness, Truthlikeliness and Proximity

    1. Logical approaches to fuzzy similarity-based reasoning: an overview

      • Lluís Godo, Ricardo O. Rodríguez
      Pages 75-128

    2. Logics of Similarity and their Dual Tableaux A Survey

      • Joanna Golińska-Pilarek, Ewa Orłowska
      Pages 129-159

    3. Proximities in Statistics: Similarity and Distance

      • Hans-J. Lenz
      Pages 161-177

  4. Similarity, Independence, Probability and Game Theory

    1. Similarity Relations and Independence Concepts

      • Frank Klawonn, Rudolf Kruse
      Pages 179-196

    2. Imprecision and Structure in Modelling Subjective Similarity

      • Thomas Sudkamp
      Pages 197-214

    3. Defensive Forecasting: How to Use Similarity to Make Forecasts That Pass Statistical Tests

      • Glenn Shafer
      Pages 215-247

  5. Argument-based Decision Making, Qualitative Preferences Reasoning, and Label Rankings

    1. Comparing decisions on the basis of a bipolar typology of arguments

      • Leila Amgoud, Henri Prade
      Pages 249-264

    2. A Snapshot on Reasoning with Qualitative Preference Statements in AI

      • Carmel Domshlak
      Pages 265-282

    3. Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants

      • Eyke Hüllermeier, Johannes Fürnkranz
      Pages 283-304

    4. Constraints and Preferences: Modelling Frameworks and Multi-agent settings

      • Francesca Rossi
      Pages 305-320
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Keywords

About this book

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.

Editors and Affiliations

  • University of Udine, Udine, Italy

    Giacomo Riccia

  • University of Toulouse, France

    Didier Dubois

  • University of Magdeburg, Magdeburg, Deutschland

    Rudolf Kruse

  • Freie Universität Berlin, Berlin, Deutschland

    Hans-Joachim Lenz

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