Author: Jon Garibaldi, Chao Chen, Tajul Razak
Description: Design and simulate fuzzy logic systems using Type 1 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro-fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group, University of Nottingham.

Description: Design and simulate fuzzy logic systems using Type 1 Fuzzy Logic.
This toolkit includes with graphical user interface (GUI) and an adaptive neuro-
fuzzy inference system (ANFIS). This toolkit is a continuation from the previous
package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis

Author: Chao Chen, Jon Garibaldi, Tajul Razak
Description: Design and simulate fuzzy logic systems using Type-1 and Interval Type-2 Fuzzy Logic.
package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group (IMA)
and Lab for UnCertainty In Data and decision making (LUCID), University of Nottingham.

person("Chao", "Chen", email = "fuzzyr@cs.nott.ac.uk", role = c("aut", "cre")),
person("Jon", "Garibaldi", role = "aut"),
Imports: splines, shiny, plyr, grid, stats, graphics
A big thank you to the many people who have contributed to the development/evaluation of the toolbox.
Please cite the toolbox and the corresponding paper <doi:10.1109/FUZZ48607.2020.9177780> when using it.
More related papers can be found in the NEWS.

Title: Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers
person("Maciej", "Romaniuk", email = "mroman@ibspan.waw.pl", role = "cre"),
person("Przemyslaw", "Grzegorzewski", email = "przemyslaw.grzegorzewski@ibspan.waw.pl", role = "aut"),
person("Olgierd", "Hryniewicz", email = "hryniewi@ibspan.waw.pl", role = "aut"))
Description: The classical (i.e. Efron's, see Efron and Tibshirani (1994, ISBN:978-0412042317)  "An Introduction to the Bootstrap") bootstrap is widely used for both the real (i.e. "crisp") and fuzzy data.
The main aim of the algorithms implemented in this package  is to overcome a problem with repetition of a few distinct values and to create fuzzy numbers, which are "similar" (but not the same) to values from the initial sample.
To do this, different characteristics of triangular/trapezoidal numbers are kept (like the value, the ambiguity, etc., see Grzegorzewski et al. <doi:10.2991/eusflat-19.2019.68>, Grzegorzewski et al. (2020) <doi:10.2991/ijcis.d.201012.003>, Grzegorzewski et al. (2020) <doi:10.34768/amcs-2020-0022>,  Romaniuk and Hryniewicz (2019) <doi:10.1007/s00500-018-3251-5>).