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 Modeling and Control
  name:
    name part: Piegat, Andrzej.
    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: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 728 p. online resource.
  abstract: In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.
  table of contents: 1. Introduction -- 1.1 Essence of fuzzy set theory -- 1.2 Development of fuzzy set theory -- 2. Basic Notions of Fuzzy Set Theory -- 2.1 Fuzzy sets -- 2.2 Characteristic parameters (indices) of a fuzzy set -- 2.3 Linguistic modifiers of fuzzy sets -- 2.4 Types of membership functions of fuzzy sets -- 2.5 Type 2 fuzzy sets -- 2.6 Fuzziness and probability: two kinds of uncertainty -- 3. Arithmetic of Fuzzy Sets -- 3.1 The extension principle -- 3.2 Addition of fuzzy numbers -- 3.3 Subtraction of fuzzy numbers -- 3.4 Multiplication of fuzzy numbers -- 3.5 Division of fuzzy numbers -- 3.6 Peculiarities of fuzzy numbers -- 3.7 Differences between fuzzy numbers and linguistic values -- 4. Mathematics of Fuzzy Sets -- 4.1 Basic operations on fuzzy sets -- 4.2 Fuzzy relations -- 4.3 Implication -- 5. Fuzzy Models -- 5.1 Structure, main elements and operations in fuzzy models -- 5.2 Significant features of rules, rule bases and fuzzy models -- 5.3 Advice relating to rule base construction -- 5.4 Reduction of the rule base -- 5.5 Normalization (scaling) of the fuzzy model inputs and output -- 5.6 Extrapolation in fuzzy models -- 5.7 Types of fuzzy models -- 6. Methods of Fuzzy Modeling -- 6.1 Fuzzy modeling based on the system expert's knowledge -- 6.2 Creation of fuzzy, self-tuning models based on input/output measurement data of the system -- 6.3 Creation of self-organizing and self-tuning fuzzy models based on input/output measurement data of the system -- 7. Fuzzy Control -- 7.1 Static fuzzy controllers -- 7.2 Dynamic fuzzy controllers -- 7.3 The determination of structures and parameters for fuzzy controllers (organization and tuning) -- 8. The Stability of Fuzzy Control Systems -- 8.1 The stability of fuzzy control systems with unknown models of plants -- 8.2 The circle stability criterion -- 8.3 The application of hyperstability theory to analysis of fuzzysystem stability -- References.
  note: by Andrzej Piegat.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Control engineering
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Computers
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Data Structures and Information Theory
  subject:
    topic: Information Systems and Communication Service
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 69
  identifier: 9783790818246
  identifier: https://doi.org/10.1007/978-3-7908-1824-6
  record info:
    record creation date: 121204
    record change date: 20191026031241.0
    record identifier: 978-3-7908-1824-6