Imprecision and structure in modelling subjective similarity

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Similarity measures based on feature matching have been designed for modelling subjective similarity judgements. In this paper, the taxonomic presence-absence feature representation is extended to assess the similarity of objects whose attributes are described by partial satisfaction of predicates or by fuzzy sets. The principle of minimum specificity is used to obtain possibilistic bounds on the combination of similarity assessments. A priority hierarchy and bipolarity are incorporated into similarity measurement to utilize inter-attribute relationships in modelling similarity judgements.
Original languageEnglish
Title of host publicationPreferences and Similarities
EditorsGiacomo Riccia, Didier Dubois, Rudolf Kruse, Hans-Joachim Lenz
PublisherSpringer International Publishing
Pages197-214
Number of pages18
ISBN (Electronic)978-3-211-85432-7
ISBN (Print)978-3-211-85431-0, 978-3-211-99941-7
DOIs
StatePublished - 2008

Publication series

NameCISM International Centre for Mechanical Sciences, Courses and Lectures
Volume504
ISSN (Print)0254-1971
ISSN (Electronic)2309-3706

ASJC Scopus Subject Areas

  • Modeling and Simulation
  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications

Disciplines

  • Mechanical Engineering
  • Computer Sciences
  • Engineering

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