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::{
    errors::McdmError, ranking::Rank, normalization::Normalize, weighting::Weight, CriteriaType,
};
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 = CriteriaType::from(vec![-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 dmatrix_ext::DMatrixExt;
• pub use errors::ValidationError;
• pub use validation::MatrixValidate;
• pub use validation::VectorValidate;

Modules

• dmatrix_ext
• 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.

Enums

• CriteriaType
  Enum to represent the type of each criterion: either Cost or Profit.