Metadata-Version: 2.1
Name: TOPSIS-ANALYSIS-kriti
Version: 1.0.2
Summary: A Python package to evaluate ranks of a Multiple Criteria Decision Making Problem(MCDM) using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)
Home-page: UNKNOWN
Author: Kriti Pandey
Author-email: kritip105@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas

# Project UCS633

Name **Kriti Pandey** 

Roll no **101703292**

Group **3COE13**


## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install TOPSIS ANALYSIS 3292.

```bash
pip install TOPSIS-ANALYSIS-kriti
```

## Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)

```python
TOPO_101703292 data.csv [1,1,1,1] [+,+,-,+]
```
## Sample dataset

| ID |	EYES |	NOSE |	FOREHEAD |	LIPS |	CHIN |
| S1 |	0.79 |	0.62 |	1.25 | 	60.89 |	11 |
| S2 | 	0.66 |	0.44 |	2.89 |	63.07 |	20 |
| S3 |	0.56 |	0.31 |	1.57 |	62.87 |	16 |
| S4 |	0.82 |	0.67 |	2.68 |	70.19 |	16 |
| S5 |	0.75 |	0.56 |	1.3 |	80.39 |	20 |


## Constraint 
*Your csv file should not have categorical data*



## License
[MIT](https://choosealicense.com/licenses/mit/)

