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: Foundations of Computational Intelligence Volume 2
    sub title: Approximate Reasoning
  name:
    name part: Hassanien, Aboul-Ella.
    role:
      role term: editor.
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: Herrera, Francisco.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 312 p. online resource.
  abstract: Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on theory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for approximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations and Part-II: Approximate Reasoning – Success Stories and Real World Applications.
  table of contents: Approximate Reasoning - Theoretical Foundations and Applications -- Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox -- Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness -- Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas -- Paraconsistent Annotated Logic Program Before-after EVALPSN and Its Application -- Approximate Reasoning - Success Stories and Real World Applications -- A Fuzzy Set Approach to Software Reliability Modeling -- Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management -- A Bayesian Solution to the Modifiable Areal Unit Problem -- Fuzzy Logic Control in Communication Networks -- Adaptation in Classification Systems -- Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match -- Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network -- An Overview of Fuzzy C-Means Based Image Clustering Algorithms.
  note: edited by Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  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)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 202
  identifier: 9783642015335
  identifier: http://dx.doi.org/10.1007/978-3-642-01533-5
  record info:
    record creation date: 100301
    record change date: 20151125151403.0
    record identifier: 978-3-642-01533-5