Topsis-Pulkit-102303803 1.0.0

A Python package to implement TOPSIS technique for Multi-Criteria Decision Making (MCDM)

102303803-Topsis

A robust Python implementation for the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), widely used for Multi-Criteria Decision Making (MCDM).

Installation

Easily install the package using pip:

pip install 102303803-Topsis

Usage

Run the package directly from the command line interface (CLI):

topsis <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Example Usage

topsis data.csv "1,1,1,2,1" "+,+,+,-,+" result.csv

Parameters Explained

1. InputDataFile: Compatibility with CSV format. The file must include a header. The first column is treated as the object identifier and excluded from calculations. All subsequent columns must contain numeric data.
2. Weights: A comma-separated string of numeric weights corresponding to each criterion (e.g., "1,1,1,2,1").
3. Impacts: A comma-separated string indicating the direction of impact for each criterion ('+' for beneficial, '-' for non-beneficial) (e.g., "+,+,+,-,+").
4. OutputResultFileName: The desired filename for the output CSV, which will include the original data augmented with Topsis Score and Rank.

License

MIT License