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: Knowledge Management in Fuzzy Databases
  name:
    name part: Pons, Olga.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Vila, Maria A.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2000
    edition: 1st ed. 2000.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 386 p. online resource.
  abstract: 1. When I was asked by the editors of this book to write a foreword, I was seized by panic. Obviously, neither I am an expert in Knowledge Representation in Fuzzy Databases nor I could have been beforehand unaware that the book's contributors would be some of the most outstanding researchers in the field. However, Amparo Vila's gentle insistence gradually broke down my initial resistance, and panic then gave way to worry. Which paving stones did I have at my disposal for making an entrance to the book? After thinking about it for some time, I concluded that it would be pretentious on my part to focus on the subjects which are dealt with directly in the contributions presented, and that it would instead be better to confine myself to making some general reflections on knowledge representation given by imprecise information using fuzzy sets; reflections which have been suggested to me by some words in the following articles such as: graded notions, fuzzy objects, uncertainty, fuzzy implications, fuzzy inference, empty intersection, etc.
  table of contents: Fuzziness in Databases: Basic Aspects -- Fuzziness in Databases: Operational Aspects -- Data Mining and Knowledge Discovery Via Querying, Retrieval and Summarization -- Using Rough Sets and Evidence Theory for Handling Uncertainty in Data Mining.
  note: edited by Olga Pons, Maria A. Vila.
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computers
  subject:
    topic: IT in Business
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Information Systems and Communication Service
  classification: HF54.5-54.56
  classification: 650
  classification: 658.05
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 39
  identifier: 9783790818659
  identifier: https://doi.org/10.1007/978-3-7908-1865-9
  record info:
    record creation date: 131016
    record change date: 20191025023003.0
    record identifier: 978-3-7908-1865-9