rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Fuzzy Quantifiers
    sub title: A Computational Theory
  name:
    name part: Glöckner, Ingo.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 460 p. online resource.
  abstract: "Almost all", "many", "some": fuzzy quantifiers are vital for effective communication in natural language (NL). This monograph pursues an axiomatic method to achieve a reliable interpretation of these quantifiers in technical applications of fuzzy quantification. Unlike existing work in this area, it targets a much broader class of quantificational phenomena which includes all cases usually considered in linguistics. The topics addressed in the monograph run the gamut from the introduction of the theoretical framework for analysing fuzzy quantification, the formalization of semantical requirements on models of fuzzy quantification, the construction and detailed study of prototypical models which conform to the linguistic desiderata, the development of algorithms for implementing the main types of quantifiers in these models, and finally a preview to fuzzy branching quantifications which might be necessary for modelling NL sentences involving more than one quantifier. The material will be of interest to those working at the crossroads of natural language and fuzzy set theory. The fields of application comprise fuzzy information aggregation and data fusion, flexible database querying and fuzzy information retrieval, multi-criteria decision-making and linguistic data summarization.
  table of contents: An Introduction to Fuzzy Quantification: Origins and Basic Concepts -- A Framework for Fuzzy Quantification -- The Axiomatic Class of Plausible Models -- Semantic Properties of the Models -- Special Subclasses of Models -- Special Semantical Properties and Theoretical Limits -- Models Defined in Terms of Three-Valued Cuts and Fuzzy-Median Aggregation -- Models Defined in Terms of Upper and Lower Bounds on Three-Valued Cuts -- The Full Class of Models Defined in Terms of Three-Valued Cuts -- The Class of Models Based on the Extension Principle -- Implementation of Quantifiers in the Models -- Multiple Variable Binding and Branching Quantification -- Discussion.
  note: by Ingo Glöckner.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational linguistics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computational Linguistics
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 193
  identifier: 9783540325031
  identifier: http://dx.doi.org/10.1007/3-540-32503-4
  record info:
    record creation date: 100301
    record change date: 20151204155735.0
    record identifier: 978-3-540-32503-1