TOPSIS Package
Overview
This project implements a Python package for performing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is a multi-criteria decision-making (MCDM) approach used to rank and select among various alternatives based on their distances from an ideal and a negative-ideal solution.
Features
- Accepts CSV input files with multi-criteria data.
- Supports user-defined weights and impacts for each criterion.
- Outputs a ranked list based on the TOPSIS evaluation.
- Error handling for invalid input files, weights, and impacts.
Installation
pip install 102203551-topsis
Usage
Run the package from the command line:
Syntax
python -m topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example
python -m topsis 102203551-data.csv "1,1,1,2,3" "+,+,-,+,+" 102203551-result.csv
Parameters
<InputDataFile>: Path to the CSV file containing the decision matrix.<Weights>: Comma-separated weights for each criterion (e.g.,1,2,1,1).<Impacts>: Comma-separated impacts for each criterion (+for benefit,-for cost).<ResultFileName>: Name of the output file where results will be saved.
1 maintainer
Metadata
1 maintainer
Release files for 102203551-topsis 1.0.5
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