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: Uncertainty Theory
    sub title: An Introduction to its Axiomatic Foundations
  name:
    name part: Liu, Baoding.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2004
    edition: 1st ed. 2004.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 411 p. online resource.
  abstract: Uncertainty Theory studies the behavior of random, fuzzy and rough events and is the generic name of probability theory, credibility theory, and trust theory. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a stimulating and useful reference.
  table of contents: Measure and Integral -- Probability Theory -- Credibility Theory -- Nonclassical Credibility Theory -- Trust Theory -- Generalized Trust Theory -- Fuzzy Random Theory -- Random Fuzzy Theory -- Random Rough Theory -- Rough Random Theory -- Fuzzy Rough Theory -- Rough Fuzzy Theory -- Birandom Theory -- Bifuzzy Theory -- Birough Theory -- Multifold Uncertainty.
  note: by Baoding Liu.
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Probabilities
  subject:
    topic: Decision making
  subject:
    topic: Mathematical and Computational Engineering
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Optimization
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Operations Research/Decision Theory
  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, 154
  identifier: 9783540399872
  identifier: https://doi.org/10.1007/978-3-540-39987-2
  record info:
    record creation date: 131115
    record change date: 20191022033233.0
    record identifier: 978-3-540-39987-2