Skip to main content

Python Package for TOPSIS

Project description

TOPSIS

Submitted By: Amogh Mittal :- 101803115.

Type: Package.

Title: Using TOPSIS for multiple-criteria decision making.

Version: 0.0.1.

Date: 13-11-2020.

Author: Amogh Mittal.

Maintainer: Amogh Mittalamoghmittal16@gmail.com.

Description: Evaluation of alternate methods based on multiple criteria using TOPSIS..


What is TOPSIS?

TOPSIS stands for Technique for Order Preference by Similarity to Ideal Solution. It was 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_Amogh

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 yet normalised but it 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**

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for TOPSIS-Amogh-101803115, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size TOPSIS_Amogh_101803115-0.0.1-py3-none-any.whl (4.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size TOPSIS-Amogh-101803115-0.0.1.tar.gz (3.8 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page