topsis-banaj-101916008 1.1.1

It's a package that calcuates Topsis score and ranks accordingly

TOPSIS

Submitted By: Banaj Bedi.

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.1.1.
Date: 2022-02-26.
Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..

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What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution (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 greatest distance from the negative-ideal solution.

How to install this package:

>> pip install topsis_banaj_101916008

In Command Prompt

>> topsis data.csv "1,1,2,1,2" "+,+,-,-,+" result.csv

Input file (data.csv)

The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R², Root Mean Squared Error, Correlation, and many more.

Weights (weights) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in impacts.

Output file (result.csv)

The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank**

View package at: https://pypi.org/project/topsis-banaj-101916008/