t_norm: t_norm

In FuzzyM: Fuzzy Cognitive Maps Operations

t_norm

Description

t_norm set of functions is aimed to calculate drastic, einstein, algebraic, hamacher products, min and bounded difference T-norms

Usage

min_tnorm(element1, element2, gammaTnormMean, algaTnorm, gammaTnorm, piTnorm)

hamacher_product_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

algebraic_product_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

einstein_product_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

bounded_difference_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

drastic_product_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

parameterized_mean_intersection_operator_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

dubois_intersection_operator_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

hamacher_intersection_operator_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

yager_intersection_operator_tnorm(
  element1,
  element2,
  gammaTnormMean,
  algaTnorm,
  gammaTnorm,
  piTnorm
)

tnorm_functions

get_tnorm(typeTnorm)

Arguments

element1, element2	paramater
gammaTnormMean, algaTnorm, gammaTnorm, piTnorm, typeTnorm	norm

Format

An object of class list of length 10.

FuzzyM documentation built on March 18, 2022, 7:53 p.m.