Topsis-Kushagar-102003002
TOPSIS
Submitted By: Kushagar Bansal - 102003002.
Type: Package.
Title: TOPSIS method for multiple-criteria decision making (MCDM).
Version: 0.0.1.
Date: 2023-01-20.
Author: Kushagar Bansal.
Maintainer: Kushagar Bansal kbansal_be20@thapar.edu.
Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..
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-Kushagar-102003002
In Command Prompt
>> topsis 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 Accuracy, R2, Root Mean Squared Error, Correlation, and many more.
| Model | Correlation | R2 | RMSE | Accuracy |
|---|---|---|---|---|
| M1 | 0.79 | 0.62 | 1.25 | 60.89 |
| M2 | 0.66 | 0.44 | 2.89 | 63.07 |
| M3 | 0.56 | 0.31 | 1.57 | 62.87 |
| M4 | 0.82 | 0.67 | 2.68 | 70.19 |
| M5 | 0.75 | 0.56 | 1.3 | 80.39 |
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)
| Model | Correlation | R2 | RMSE | Accuracy | Topsis_score | Rank |
|---|---|---|---|---|---|---|
| M1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.7722 | 2 |
| M2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.2255 | 5 |
| M3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.4388 | 4 |
| M4 | 0.82 | 0.67 | 2.68 | 70.19 | 0.5238 | 3 |
| M5 | 0.75 | 0.56 | 1.3 | 80.39 | 0.8113 | 1 |
The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank**
Release files for Topsis-Kushagar-102003002 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Topsis-Kushagar-102003002-0.0.2.tar.gz | 4.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Topsis_Kushagar_102003002-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / Topsis-Kushagar-102003002-0.0.2.tar.gz
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