apply.SPOTIS: Apply the Stable Preference Ordering Towards Ideal Solution...

In RMCDA: Multi-Criteria Decision Analysis

Apply the Stable Preference Ordering Towards Ideal Solution (SPOTIS) method

Description

Apply the Stable Preference Ordering Towards Ideal Solution (SPOTIS) method

Usage

apply.SPOTIS(matrix, weights, types, bounds)

Arguments

matrix	A numeric matrix or data frame where rows represent alternatives and columns represent criteria.
weights	A numeric vector of weights for each criterion. The sum of weights must equal 1.
types	A numeric vector indicating the type of each criterion: 1 for profit and -1 for cost.
bounds	A numeric matrix where each row contains the minimum and maximum bounds for each criterion.

Value

A numeric vector of preference scores for alternatives. Lower scores indicate better alternatives.

Examples

# Decision matrix
matrix <- matrix(c(10.5, -3.1, 1.7,
                   -4.7, 0, 3.4,
                   8.1, 0.3, 1.3,
                   3.2, 7.3, -5.3), nrow = 4, byrow = TRUE)

# Criteria bounds
bounds <- matrix(c(-5, 12,
                   -6, 10,
                   -8, 5), nrow = 3, byrow = TRUE)

# Criteria weights
weights <- c(0.2, 0.3, 0.5)

# Criteria types
types <- c(1, -1, 1)

# Apply SPOTIS
preferences <- apply.SPOTIS(matrix, weights, types, bounds)

RMCDA documentation built on June 8, 2025, 11:14 a.m.