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This Package is for calculating the TOPSIS score and rank of a dataset and storing final result in a csv file

Project description



Title:Multiple Criteria Decision Making using TOPSIS

What is TOPSIS:

TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. It is a multi-criteria decision analysis method, which was originally developed by Ching-Lai Hwang and Yoon in 1981 with further developments by Yoon in 1987, and Hwang, Lai and Liu in 1993.

How to install the TOPSIS package

pip install TOPSIS_101866105

For Calculating the TOPSIS Score

Topsis data.csv "0.25,0.25,0.25,0.25" "-,+,+,+" result.csv
Input File(Example:data.csv):

Argument used to pass the path of the input file which conatins a dataset having different fields and to perform the topsis mathematical operations


The weights to assigned to the different parameters in the dataset should be passed in the argument.It must be seperated by ','.


The impacts are passed to consider which parameters have a positive impact on the decision and which one have the negative impact.Only '+' and '-' values should be passed and should be seperated with ',' only

Output File(Example:result.csv):

This argument is used to pass the path of the result file where we want the rank and score to be stored

Project details

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Files for TOPSIS-101866015, version 1.0.0
Filename, size File type Python version Upload date Hashes
Filename, size TOPSIS_101866015-1.0.0-py3-none-any.whl (2.4 kB) File type Wheel Python version py3 Upload date Hashes View

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