semvec/pypi-packages huggingface dataset:
topsis-101903570 4.1.0
Python package to implement TOPSIS
License: MIT

This package is implementation of topsis technique of multi-criteria decision analysis.
This package will accept three parameters:
1. data.csv //file which contains the models and parameters
2. string of weights separated by commas(,)
3. string of requirements (+/-) separated by commas(,)
// important
install pandas,sys and math libraries before installing this
//
You can install this package using following command
pip install topsis-101903576
# topsis-101903570
Topsis-101903239 1.0
Topsis Calculation
License: MIT
Keywords: Topsis,TopsisPackage

# Topsis

## A Multi-Criteria Decision Analysis Method

**Submitted By** - Pushpak Kamboj
**Roll No.** - 101903239
**Group** - 3COE9

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

## Installation

This package requires pandas to be pre-installed and python to run.
Install the dependencies and devDependencies and start the server.
**To Install and run in cmd line:**

```sh
pip install Topsis_101903239
import Topsis_101903239
Topsis_101903239.Topsis(Input_File_Name.csv,"1,1,1,1 ...","+,-,+,- ...","resultfile.csv")
```
Topsis-Nanaki-101903195 0.1.1
Multi Criteria Decision Making using TOPSIS (Python Package)
License: MIT

## What is TOPSIS

**T**echnique for **O**rder **P**reference by **S**imilarity to **I**deal
**S**olution (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 farthest distance from the negative-ideal
solution. More details at [wikipedia](https://en.wikipedia.org/wiki/TOPSIS)


## Installation
```pip install Topsis-Nanaki-101903195```

## How to use it ?
Open terminal and move into directory where all your files are placed and the type :
    python topsis.py "input.csv" "1,1,1,2" "+,+,+,-" "result.csv"

## License 
Â© 2022 
This repository is licensed under the MIT license.See License for details.
topsis-Akshit-101903151 1.0.0
Multiple criteria decision making (MCDM) using TOPSIS
License: MIT

#Topsis-Akshit-101903151
Multiple criteria decision making (MCDM) using TOPSIS

## Installation
```pip install topsis-Akshit-101903151```

##Sample Use case
import topsis-Akshit-10903151 as t
t.topsis("input.csv","1,2,1,2,3","+,+,-,+,-","output.csv")