Crate mcdm 

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::{McdmError, Rank, Normalize, Weight, CriteriaTypes};
use nalgebra::dmatrix;

fn main() -> Result<(), McdmError> {
    // Define the decision matrix (alternatives x criteria)
    let alternatives = dmatrix![4.0, 7.0, 8.0; 2.0, 9.0, 6.0; 3.0, 6.0, 9.0];
    let criteria_types = CriteriaTypes::from_slice(&[-1, 1, 1])?;

    // Apply normalization using Min-Max
    let normalized_matrix = alternatives.normalize_min_max(&criteria_types)?;

    // Alternatively, use equal weights
    let equal_weights = normalized_matrix.weight_equal()?;

    // Apply the TOPSIS method for ranking
    let ranking = normalized_matrix.rank_topsis(&equal_weights)?;

    // Output the ranking
    println!("Ranking: {:.3}", ranking);
    // Ranking:
    //   ┌      ┐
    //   │ 0.626 │
    //   │ 0.414 │
    //   │ 0.500 │
    //   └      ┘

    Ok(())
}

Re-exports

pub use crate::correlation::*;

pub use crate::criteria::*;

pub use crate::dmatrix_ext::*;

pub use crate::errors::*;

pub use crate::normalization::*;

pub use crate::ranking::*;

pub use crate::validation::*;

pub use crate::weighting::*;

Modules

correlation

Correlation methods for the DMatrix type from the nalgebra crate.

criteria

Representations for the types of each criterion: either Cost or Profit.

dmatrix_ext

Extensions for the DMatrix type from the nalgebra crate.

errors

A set of errors that can occur in the mcdm crate.

normalization

Normalization methods for normalizing a decision matrix.

ranking

Techniques for ranking alternatives.

validation

Validation methods for bounded arrays and vectors.

weighting

Methods for weighting a decision matrix.