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fuzzy inference system modeling -凯发k8网页登录

build fuzzy inference systems and fuzzy trees

fuzzy inference is the process of formulating input/output mappings using fuzzy logic. fuzzy logic toolbox™ software provides tools for creating:

  • type-1 or interval type-2 mamdani fuzzy inference systems

  • type-1 or interval type-2 sugeno fuzzy inference systems

  • trees of interconnected fuzzy inference systems

for more information on fuzzy logic, see . for more information on fuzzy inference, see .

apps

fuzzy logic designerdesign, test, and tune fuzzy inference systems

functions

type-1 systems

mamdani fuzzy inference system
sugeno fuzzy inference system
generate fuzzy inference system object from data
option set for genfis function

type-2 systems

interval type-2 mamdani fuzzy inference system
interval type-2 sugeno fuzzy inference system

fis trees

network of connected fuzzy inference systems

fis conversion

convert mamdani fuzzy inference system into sugeno fuzzy inference system
convert type-2 fuzzy inference system into type-1 fuzzy inference system
convert type-1 fuzzy inference system into type-2 fuzzy inference system
convert fuzzy inference system object into a structure
convert previous versions of fuzzy inference data in current format
add input variable to fuzzy inference system
add output variable to fuzzy inference system
remove input variable from fuzzy inference system
remove output variable from fuzzy inference system
fuzzy variable
add membership function to fuzzy variable
remove membership function from fuzzy variable
fuzzy membership function
interval type-2 fuzzy membership function
add rule to fuzzy inference system
display fuzzy inference system rules
fuzzy rule
update fuzzy rule using fuzzy inference system
evaluate fuzzy inference system
option set for evalfis function
display fuzzy inference system
plot membership functions for input or output variable
generate fuzzy inference system output surface
option set for gensurf function
load fuzzy inference system from file
save fuzzy inference system to file
evaluate fuzzy membership function
gaussian membership function
generalized bell-shaped membership function
triangular membership function
difference between two sigmoidal membership functions
gaussian combination membership function
linear s-shaped saturation membership function
linear z-shaped saturation membership function
pi-shaped membership function
product of two sigmoidal membership functions
sigmoidal membership function
s-shaped membership function
trapezoidal membership function
z-shaped membership function
defuzzify membership function
probabilistic or
perform fuzzy arithmetic

topics

fuzzy logic basics


  • fuzzy logic uses linguistic variables, defined as fuzzy sets, to approximate human reasoning.

  • a fuzzy logic system is a collection of fuzzy if-then rules that perform logical operations on fuzzy sets.

  • fuzzy inference maps an input space to an output space using a series of fuzzy if-then rules.

fuzzy inference systems


  • you can implement either mamdani or sugeno fuzzy inference systems using fuzzy logic toolbox software.
  • type-2 fuzzy inference systems
    you can create and evaluate interval type-2 fuzzy inference systems with additional membership function uncertainty.
  • fuzzy trees
    you can implement complex fuzzy inference systems as a collection of smaller interconnected fuzzy systems.

build fuzzy inference systems

  • build fuzzy systems using fuzzy logic designer

    interactively construct a fuzzy inference system using the fuzzy logic designer app.


  • construct a fuzzy inference system at the matlab® command line.

  • you can replace the built-in membership functions and fuzzy inference functions with your own custom functions.
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