s_norm: s_norm

In FuzzyM: Fuzzy Cognitive Maps Operations

s_norm

Description

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

Usage

drastic_sum_snorm(element1, element2, gammaSnorm, piSnorm)

bounded_sum_snorm(element1, element2, gammaSnorm, piSnorm)

einstein_sum_snorm(element1, element2, gammaSnorm, piSnorm)

algebraic_sum_snorm(element1, element2, gammaSnorm, piSnorm)

hamacher_sum_snorm(element1, element2, gammaSnorm, piSnorm)

max_snorm(element1, element2, gammaSnorm, piSnorm)

hamacher_union_operator_snorm(element1, element2, gammaSnorm, piSnorm)

yager_union_operator_snorm(element1, element2, gammaSnorm, piSnorm)

snorm_functions

get_snorm(typeSnorm)

Arguments

element1, element2	paramater
gammaSnorm, piSnorm, typeSnorm	norm

Format

An object of class list of length 8.

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