Metadata-Version: 2.1
Name: TOPSIS-Yashwant-101803318
Version: 1.0.4
Summary: A Topsis package that takes inputs as CSV and generates scores in results CSV!
Home-page: https://github.com/meyash/TOPSIS_101803318
Author: Yashwant
Author-email: yashsn2127@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: pandas (>=1.0.5)

# TOPSIS_101803318

## TOPSIS method for multiple-criteria decision making (MCDM)

### What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution
(TOPSIS) originated in the 1980s as a multi-criteria decision making method.
TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution,
and greatest distance from the negative-ideal solution.

<br>

## INSTALLATION

```
>> pip install TOPSIS_Yashwant_101803318
```

### USAGE

```
>> topsis data.csv "1,1,1,1" "+,+,-,+" result.csv
```

## Input file (data.csv)

The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R<sup>2</sup>, Root Mean Squared Error, Correlation, and many more.

| Model | Correlation | R<sup>2</sup> | RMSE | Accuracy |
| ----- | ----------- | ------------- | ---- | -------- |
| M1    | 0.79        | 0.62          | 1.25 | 60.89    |
| M2    | 0.66        | 0.44          | 2.89 | 63.07    |
| M3    | 0.56        | 0.31          | 1.57 | 62.87    |
| M4    | 0.82        | 0.67          | 2.68 | 70.19    |
| M5    | 0.75        | 0.56          | 1.3  | 80.39    |

Weights (`weights`) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in `impacts`.

<br>

## Output file (result.csv)

| Model | Correlation | R<sup>2</sup> | RMSE | Accuracy | Topsis_score | Rank |
| ----- | ----------- | ------------- | ---- | -------- | ------------ | ---- |
| M1    | 0.79        | 0.62          | 1.25 | 60.89    | 0.7722       | 2    |
| M2    | 0.66        | 0.44          | 2.89 | 63.07    | 0.2255       | 5    |
| M3    | 0.56        | 0.31          | 1.57 | 62.87    | 0.4388       | 4    |
| M4    | 0.82        | 0.67          | 2.68 | 70.19    | 0.5238       | 3    |
| M5    | 0.75        | 0.56          | 1.3  | 80.39    | 0.8113       | 1    |

<br>
The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank**

## License

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)

By [Yashwant](https://github.com/meyash)

## Contributors

<img src="https://avatars3.githubusercontent.com/u/21121279?s=460&u=f0450278b2b569c4443ab8ee03f9dff7015da5bf&v=4" width="100px;" alt="toofff"/><br />

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## Version Guidance
| ReDoc Release | OpenAPI Specification |
|:--------------|:----------------------|
| 1.0.2         | TOPSIS INIT           |

