Metadata-Version: 2.1
Name: TOPSIS-ANALYSIS-kriti
Version: 1.0.1
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 Description

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 3292
```

## 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

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



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

