TOPSIS-suryansh-101983044 999

A python module to implement Multiple Criteria Decision Making using TOPSIS ranking.

TOPSIS-suryansh-101983044

This python module aims to implement Multiple Criteria Decision Making using TOPSIS ranking. The module is available at https://pypi.org/project/TOPSIS-suryansh-101983044/0.1/.

Description

This module basically is a function which requires a CSV file as input which contains the model on which you wish to implement TOPSIS along with impacts,weights and a name for the result file.The model basically builts a result csv file which has two additional columns, TOPSIS score and rank respectively.

Installation

Use package manager pip to install the module.

pip install TOPSIS-suryansh-101983044

Usage

After intalling the package use the following code:

module =__import__('TOPSIS-suryansh-101983044')

module.topsis(file_name,weights,impacts,resultant_filename)

Usage Contsraints

The first attribute is a string containg the name of the input csv file.It should contain the input model and should be present in the working directory.

* It should have more than 3 columns.

* First column is the object/variable name.

* From 2nd to last columns contain numeric values only.

The second attribute is a string containing comma seperated weights. Example: "1,1,1,1"

* Weights should be numerical and should be separated by commas.

The third attribute is a string containing comma seperated impacts. Example: "+,-,-,+"

* Impacts could either be '+' or '-'. Impacts should be comma separated.

* Number of WEIGHTS and IMPACTS must be equal to the number of COLUMNS(excluding the first object column) in the input file

Authors

Suryansh Bhadwaj

License

MIT