mcdm/
lib.rs

1//! The `mcdm` crate offers a set of utilities for implementing Multiple-Criteria Decision Making
2//! (MCDM) techniques in Rust, enabling users to analyze and rank alternatives based on multiple
3//! conflicting criteria.
4//!
5//! # Example
6//!
7//! ```rust
8//! use mcdm::{McdmError, Rank, Normalize, Weight, CriteriaTypes};
9//! use nalgebra::dmatrix;
10//!
11//! fn main() -> Result<(), McdmError> {
12//!     // Define the decision matrix (alternatives x criteria)
13//!     let alternatives = dmatrix![4.0, 7.0, 8.0; 2.0, 9.0, 6.0; 3.0, 6.0, 9.0];
14//!     let criteria_types = CriteriaTypes::from_slice(&[-1, 1, 1])?;
15//!
16//!     // Apply normalization using Min-Max
17//!     let normalized_matrix = alternatives.normalize_min_max(&criteria_types)?;
18//!
19//!     // Alternatively, use equal weights
20//!     let equal_weights = normalized_matrix.weight_equal()?;
21//!
22//!     // Apply the TOPSIS method for ranking
23//!     let ranking = normalized_matrix.rank_topsis(&equal_weights)?;
24//!
25//!     // Output the ranking
26//!     println!("Ranking: {:.3}", ranking);
27//!     // Ranking:
28//!     //   ┌      ┐
29//!     //   │ 0.626 │
30//!     //   │ 0.414 │
31//!     //   │ 0.500 │
32//!     //   └      ┘
33//!
34//!     Ok(())
35//! }
36//! ```
37#![no_std]
38
39#[cfg(any(test, feature = "std"))]
40extern crate std;
41
42pub mod correlation;
43pub mod criteria;
44pub mod dmatrix_ext;
45pub mod errors;
46pub mod normalization;
47pub mod ranking;
48pub mod validation;
49pub mod weighting;
50
51pub use crate::correlation::*;
52pub use crate::criteria::*;
53pub use crate::dmatrix_ext::*;
54pub use crate::errors::*;
55pub use crate::normalization::*;
56pub use crate::ranking::*;
57pub use crate::validation::*;
58pub use crate::weighting::*;
mcdm/lib.rs

mcdm/
lib.rs
