plot.fuzzy_lm: Plot Fuzzy Regression Results

In flex: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)

Plot Fuzzy Regression Results

Description

Visualizes the results of a fuzzy regression model. For simple regression (1 predictor), it generates a 2D plot with fuzzy intervals and regression lines. For multiple regression (2 predictors), it generates a 3D plot with cubes representing fuzzy intervals and a regression plane.

Usage

## S3 method for class 'fuzzy_lm'
plot(object, ...)

Arguments

object	An object of class fuzzy_lm.
...	Additional arguments passed to the method, including: X_fuzzy: A list of fuzzified predictor variables. Y_fuzzy: A list of fuzzified outcome variables.

Value

A ggplot2 object for simple regression or a plotly object for multiple regression.

Examples

# Example 1: Simple Regression
# See above for setup example

# Example 2: Multiple Regression
set.seed(123)
n <- 100
x1_crisp <- runif(n, 5, 15)
x2_crisp <- runif(n, 10, 20)
beta <- c(3, 1.5, -0.8)
y_crisp <- beta[1] + beta[2] * x1_crisp + beta[3] * x2_crisp + rnorm(n, mean = 0, sd = 2)

X_fuzzy <- fuzzify_crisp_matrix(cbind(x1_crisp, x2_crisp), spread = 0.5)
Y_fuzzy <- fuzzify_crisp_vector(y_crisp, spread = 1.0)
object <- fuzzy_lm(X_fuzzy, Y_fuzzy, p = 2)

plot(object, X_fuzzy = X_fuzzy, Y_fuzzy = Y_fuzzy)

flex documentation built on Sept. 2, 2025, 9:09 a.m.