compute_pred: Compute Predictions from Fuzzy Linear Model

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

Compute Predictions from Fuzzy Linear Model

Description

Compute Predictions from Fuzzy Linear Model

Usage

compute_pred(object, X_fuzzy)

Arguments

object	List. Result of fuzzy least squares regression containing beta_hat.
X_fuzzy	List. Fuzzified predictor variables.

Value

A list of fuzzy predictions.

Examples

# Example setup
X_fuzzy <- list(
  list(list(l = 1, x = 2, r = 3), list(l = 4, x = 5, r = 6)),
  list(list(l = 2, x = 3, r = 4), list(l = 5, x = 6, r = 7))
)
beta_hat <- c(0.5, 1.2, -0.8)  # Example regression coefficients
object <- list(beta_hat = beta_hat)

# Compute predictions
predictions <- compute_pred(object, X_fuzzy)
print(head(predictions, 6))

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