semvec/pypi-packages huggingface dataset:
topsis-Gurleen-102003138 0.1
This package is implementation of Multiple-criteria decision making using Topsis Algorithm
License: MIT
Keywords: TOPSIS,MULTIPLE CRITERIA DECISION MAKING,MCDM

# Topsis
## By Gurleen Kaur, 102003138
This package can be used for implementation of Multiple criteria decision making using Topsis Algorithm. This is a python library for dealing with Multi-Criteria Decision Making (MCDM) problems by using techniques for order of preference by similarity to ideal solution (TOPSIS).
## Installation
```sh
pip install topsis-gurleen-102003138
```
## How to use
This package will accept four arguments during file execution:
1. dataset.csv (file path which contains the dataset)
2. string of weights separated by commas(,)
3. string of impacts (+/-) separated by commas(,)
4. result.csv (file path where the result needs to be stored)

## Pre-requirements

install pandas and math libraries before installing this package
```sh
pip install pandas
pip install math
```
You can install this package using following command
```sh
pip install Topsis_Gurleen_102003138
```


## License
Â© 2023 Gurleen Kaur
This repository is licensed under the MIT license. See LICENSE for details.
Topsis-Saksham-102017191 0.0.2
A python package that helps you run TOPSIS (technique for order performance by similarity to ideal solution) for multi-criteria decision making
License: MIT
Keywords: Topsis,TIET,UCS654,Thapar,implement topsis

Topsis Score and Rank Calculator

I have created a Python package implementing Topsis(Technique for Order of Preference by Similarity to Ideal Solution) method used for multi-criteria decision analysis.


you just need to provide your input attributes using the command line and it will give you the results which will be displayed both on console and stored in a csv file provided as the last argument.


## Installation

$ pip install TOPSIS-102017191==0.0.2

In the commandline, you can run it in the following ways -
    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>

E.g for input data file as data.csv, command will be like
    $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Topsis Core and Rank column, in a tabular format

License -> MIT


Change Log
==========

0.0.1 (22/01/2023)
------------------
- First Release
102003105 1.0.5
A Python package to find TOPSIS for Multi-Criteria Decision Analysis Method
License: MIT
Keywords: topsis,TIET,Thapar

# Topsis Value Calculator
Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of suitability. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) helps solve MADM problems.


This is a Python package implementing TOPSIS method for multi-criteria decision analysis.




## Installation

**$ pip install TOPSIS-102003105** 

In the commandline, you can write as -
    **$ python <package_name> <path to input_data_file_name> 
    <weights as strings> <impacts as strings> <result_file_name>**
	

E.g for input data file as data.csv, command will be like
    **$ python 102003105.py 102003105-data.csv "0,1,1,1,2,1" "+,-,-,+,-,+" 102003105-Result1.csv**


This will give the output in 102003105-Result1.csv file

License -> MIT