TOPSIS implementation as a Python package
Project description
Topsis-Saniya-102303183
Topsis-Saniya-102303183 is a Python package for solving Multiple Criteria Decision Making (MCDM) problems using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Installation
Use pip to install the package:
pip install Topsis-Saniya-102303183
Usage
Run the package from the command line:
topsis <InputDataFile.csv> <Weights> <Impacts> <ResultFile.csv>
Example
Input file: sample.csv
Model,Storage,Camera,Price,Looks
M1,16,12,250,5
M2,16,8,200,3
M3,32,16,300,4
M4,32,8,275,4
M5,16,16,225,2
Command:
topsis sample.csv "1,1,1,1" "+,-,+,+" result.csv
Output
TOPSIS RESULTS
-----------------------------
P-Score Rank
1 0.534277 3
2 0.308368 5
3 0.691632 1
4 0.534737 2
5 0.401046 4
Higher score indicates a better alternative.
Assumptions
- Input file must be a CSV file
- All values must be numeric
- Number of weights must equal number of criteria
- Impacts must be either + or -
- No missing values allowed
Author
Saniya
License
MIT License
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