# TOPSIS Implementation by Arushi Gadodia
A Python package that implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.
Submitted by: Arushi Gadodia
Roll Number: 102203683
## Installation
```bash
pip install Topsis-Arushi Gadodia-102203683
```
## Usage
From command line:
```bash
topsis input.csv "1,1,1,2" "+,+,-,+" output.csv
```
From Python:
```python
from topsis import calculate_topsis
calculate_topsis("input.csv", "1,1,1,2", "+,+,-,+", "output.csv")
```
## Input Format
1. Input file must be a CSV file with 3 or more columns
2. First column is the object/variable name
3. From 2nd column onwards should contain only numeric values
4. Weights should be comma-separated numbers (e.g. "1,1,1,2")
5. Impacts should be comma-separated +/- symbols (e.g. "+,+,-,+")
## Output
The program will create a result CSV file containing:
- All columns from input file
- Two additional columns: 'Topsis Score' and 'Rank'
## Error Handling
The program will check for:
- Correct number of parameters
- File existence
- Input file format
- Number of weights/impacts matching number of criteria
- Valid impact symbols (+/-)
## License
© 2024 Arushi Gadodia
This project is licensed under the MIT License - see the LICENSE file for details.#\x00 \x00T\x00o\x00p\x00s\x00i\x00s\x00
\x00
\x00
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"description": "# TOPSIS Implementation by Arushi Gadodia\r\n\r\nA Python package that implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.\r\n\r\nSubmitted by: Arushi Gadodia\r\nRoll Number: 102203683\r\n\r\n## Installation\r\n\r\n```bash\r\npip install Topsis-Arushi Gadodia-102203683\r\n```\r\n\r\n## Usage\r\n\r\nFrom command line:\r\n```bash\r\ntopsis input.csv \"1,1,1,2\" \"+,+,-,+\" output.csv\r\n```\r\n\r\nFrom Python:\r\n```python\r\nfrom topsis import calculate_topsis\r\ncalculate_topsis(\"input.csv\", \"1,1,1,2\", \"+,+,-,+\", \"output.csv\")\r\n```\r\n\r\n## Input Format\r\n\r\n1. Input file must be a CSV file with 3 or more columns\r\n2. First column is the object/variable name\r\n3. From 2nd column onwards should contain only numeric values\r\n4. Weights should be comma-separated numbers (e.g. \"1,1,1,2\")\r\n5. Impacts should be comma-separated +/- symbols (e.g. \"+,+,-,+\")\r\n\r\n## Output\r\n\r\nThe program will create a result CSV file containing:\r\n- All columns from input file\r\n- Two additional columns: 'Topsis Score' and 'Rank'\r\n\r\n## Error Handling\r\n\r\nThe program will check for:\r\n- Correct number of parameters\r\n- File existence\r\n- Input file format\r\n- Number of weights/impacts matching number of criteria\r\n- Valid impact symbols (+/-)\r\n\r\n## License\r\n\r\n\u00c2\u00a9 2024 Arushi Gadodia\r\nThis project is licensed under the MIT License - see the LICENSE file for details.#\\x00 \\x00T\\x00o\\x00p\\x00s\\x00i\\x00s\\x00\r\n\\x00\r\n\\x00\r\n",
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