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: Complexity Management in Fuzzy Systems
    sub title: A Rule Base Compression Approach
  name:
    name part: Gegov, Alexander.
    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: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 349 p. online resource.
  abstract: This book presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases, which are illustrated by algorithms as well as results from numerous examples and two case studies. The results are directly applicable or easily extendable to a wide class of fuzzy systems and detailed benchmarks for expanding these systems to new areas such as fuzzy networks and fuzzy multi-agent systems are introduced. The intended readers are people from both academia and industry, who would be interested in building and implementing advanced fuzzy systems.
  table of contents: Basic Types of Fuzzy Rule Based Systems -- Rule Base Reduction Methods for Fuzzy Systems -- Formal Presentation of Fuzzy Rule Based Systems -- Formal Manipulation of Fuzzy Rule Based Systems -- Formal Manipulation with Special Rule Bases -- Formal Transformation of Fuzzy Rule Based Systems -- Formal Transformation of Feedback Rule Bases -- Formal Simplification of Fuzzy Rule Based Systems -- Conclusion.
  note: by Alexander Gegov.
  subject:
    topic: Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: System theory
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematics
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q295
  classification: QA402.3-402.37
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 211
  identifier: 9783540388852
  identifier: http://dx.doi.org/10.1007/978-3-540-38885-2
  record info:
    record creation date: 100301
    record change date: 20151204162950.0
    record identifier: 978-3-540-38885-2