The mcdm crate offers a set of utilities for implementing Multiple-Criteria Decision Making (MCDM) techniques in Rust, enabling users to analyze and rank alternatives based on multiple conflicting criteria.

Example

use mcdm::{
errors::McdmError,
methods::{Rank, TOPSIS},
normalization::{MinMax, Normalize},
weights::{Equal, Weight},
};
use ndarray::{array, Array1, Array2};

fn main() -> Result<(), McdmError> {
// Define the decision matrix (alternatives x criteria)
let alternatives: Array2<f64> = array![[4.0, 7.0, 8.0], [2.0, 9.0, 6.0], [3.0, 6.0, 9.0]];
let criteria_types: Array1<i8> = array![-1, 1, 1];

// Apply normalization using Min-Max
let normalized_matrix = MinMax::normalize(&alternatives, &criteria_types)?;

// Alternatively, use equal weights
let equal_weights = Equal::weight(&normalized_matrix)?;

// Apply the TOPSIS method for ranking
let ranking = TOPSIS::rank(&normalized_matrix, &equal_weights)?;

// Output the ranking
println!("Ranking: {:.3?}", ranking);

Ok(())
}