TOPSIS package for MCDM problems
Project description
Topsis-Harsaihaj-123456
A Python package for solving Multiple Criteria Decision Making (MCDM) problems using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution).
This package is developed as part of UCS654 coursework.
Installation
pip install Topsis-Harsaihaj-123456
Usage
topsis sample.csv "1,1,1,1" "+,-,+,+" output.csv
- Weights and impacts must be comma-separated
- Impacts must be
+or-
Input File Format
| Model | C1 | C2 | C3 | C4 |
|---|---|---|---|---|
| A1 | 250 | 16 | 12 | 5 |
| A2 | 200 | 16 | 8 | 3 |
- First column: identifier
- Remaining columns: numeric
Output
Adds:
- Topsis Score
- Rank
Example
topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+" result.csv
Author
Harsaihaj Singh
License
MIT
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