Implementation of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)
Project description
TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision analysis method.
Installation
bash pip install Topsis-Satyam-102303729
Usage
Command Line
bash topsis <input_file> <output_file>
Parameters
- input_file: Path to input CSV file
- weights: Comma-separated weights (e.g., "1,1,1,2")
- impacts: Comma-separated impacts, either + or - (e.g., "+,+,-,+")
- output_file: Path to output CSV file
Example
bash topsis-satyam data.csv "1,1,1,1,1" "+,+,+,+,+" output.csv
Input File Format
The input CSV file should have:
- First column: Object/item names
- Remaining columns: Criteria values (numeric)
Example:
Model,Price,Storage,Camera,Looks M1,250,16,12,5 M2,200,16,8,3 M3,300,32,16,4
Output
The output file will contain:
- All original columns
- Topsis Score: Calculated TOPSIS score
- Rank: Rank based on TOPSIS score
Requirements
- Python >= 3.8
- pandas >= 1.0.1
- numpy >= 1.18.0
License
MIT License
Author
Satyam Gupta
Links
-GitHub: https://github.com/sat-yam-12/TOPSIS-SATYAM-102303729
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