semvec/pypi-packages huggingface dataset:
topsis-AJ 0.0.1
implementation of TOPSIS

ï»¿Implementation of TOPSIS
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â€¢Input File
o Input file contain three or more columns
o First column is the object/variable name (e.g. M1, M2, M3, M4â€¦...)
o From 2nd to last columns contain numeric values only
â€¢ Output Files
o Result file contains all the columns of input file and two additional columns having TOPSIS SCORE and RANK

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Installation
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pip install TOPSIS-amrit-101803089

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Synchronization
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Â© 2020 Amrit Jain

This repository is licensed under the MIT license. See LICENSE for details.
TOPSIS-Calc-101866010 0.0.1
TOPSIS score calculation

# TOPSIS_101866010

By: Pranav Anand-101866010

**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_101866010

### 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

### Weights(Example:"0.25,0.25,0.25,0.25")
The weights to assigned to the different parameters in the dataset should be passed in the argument.It must be seperated by ','.

### Impacts(Example:"-,+,+,+"):
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