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Decision Making in a Deregulated Power Environment Based on Fuzzy Sets

  • S. M. Shahidehpour
  • M. I. Alomoush
Chapter
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 20)

Abstract

In a paper written in 1965 [1], Zadeh introduced the properties of fuzzy sets, and defined it as a class of objects with a continuum of grades of membership in the interval [0,1]. This definition differs from the conventional deterministic set theory in which objects have only membership (characteristic function) values taken from the discrete set {0,1}. In fuzzy set theory, each object x in a fuzzy set X is given a membership value using a membership function denoted by µ(x) which is corresponding to the characteristic function of the crisp set whose values range between zero (complete non-membership) and one (complete membership). In fuzzy sets, the closer the value µ(x) to 1.0 the more x belongs to X.

Keywords

Membership Function Power System Analytic Hierarchy Process Fuzzy Logic Controller Uncertain Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • S. M. Shahidehpour
    • 1
  • M. I. Alomoush
    • 1
  1. 1.Department of Electrical and Computer EngineeringIllinois Institute of TechnologyChicagoUSA

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