Interval Type-2 Fuzzy Logic Controllers

  • Ying Bai
  • Zvi S. Roth
Part of the Advances in Industrial Control book series (AIC)


In the point of view of control types, the fuzzy logic control technology can be divided into two categories: type-1 and type-2. So far, the fuzzy logic control technologies discussed in all previous chapters in this book belong to the type-1 fuzzy logic controls. In type-1 FLC, each membership function has a definite value or a membership degree based on the current input or output value. Also, the control rules have a two-to-one, multi-to-one, or multi-to-multi definite single-value relationship, and the fuzzy inference system output is a crisp single-value output. However, some shortcomings are involved with this kind of fuzzy inference system.


  1. 1.
    Castro, J. R., Castillo, O., Melin, P., Martínez, L. G., Escobar, S., & Camacho, I. (2007). Building fuzzy inference systems with the interval Type-2 fuzzy logic toolbox. IFSA.Google Scholar
  2. 2.
    Castro, J. R., Castillo, O., & Melin, P. (2007). An interval Type-2 fuzzy logic toolbox for control applications. FUZZ-IEEE.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ying Bai
    • 1
  • Zvi S. Roth
    • 2
  1. 1.Department of Computer Science and EngineeringJohnson C. Smith UniversityCharlotteUSA
  2. 2.Department of Electrical and Computer ScienceFlorida Atlantic UniversityBoca RatonUSA

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