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Topsis:-MULTIPLE-CRITERIA DECISION MAKING

TOPSIS

Submitted By: TARUNA JAIN 102003464.

Date: 21-JAN-2023.

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..


What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution 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_Taruna_102003464

In Command Prompt

>> topsis123 data.csv "1,1,1,1," "+,+,-,+" 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 Price or cost, Storage Space, Camera, Looks, and many more.

Attribute Price or cost Storage Space Camera Looks
Mobile 1 250$ 16GB 12MP 5
Mobile 2 200$ 16GB 8MP 3
Mobile 3 300$ 32GB 16MP 4
Mobile 4 275$ 32GB 8MP 4
Mobile 5 225$ 16GB 16MP 2

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)

Attribute Price or cost Storage Space Camera Looks Topsis_score Rank
Mobile 1 250$ 16GB 12MP 5 0.4228 4
Mobile 2 200$ 16GB 8MP 3 0.4635 3
Mobile 3 300$ 32GB 16MP 4 0.5097 2
Mobile 4 275$ 32GB 8MP 4 0.3772 5
Mobile 5 225$ 16GB 16MP 2 0.6871 1

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

Release files for Topsis-Taruna-102003464 0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Topsis-Taruna-102003464 0.3
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Table of built distributions (wheels) for Topsis-Taruna-102003464 0.3
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Topsis_Taruna_102003464-0.3-py3-none-any.whl Python 3 none any Details

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