Skip to main content

A package -> Calculates Topsis Score and Ranks them accordingly

Project description

Topsis_Saksham Yadav - 102003673

TOPSIS

Submitted By: Saksham Yadav - 102003673.

Type: Package.

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

Version: 0.0.2.

Date: 2023-01-22.

Author: Saksham Yadav.

Maintainer: Saksham Yadav syadav1_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-Saksham_Yadav-102003673

In Command Prompt


>> python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>

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

Project details


Download files

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

Source Distribution

Topsis-Saksham-10200353-0.0.2.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

Topsis_Saksham_10200353-0.0.2-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file Topsis-Saksham-10200353-0.0.2.tar.gz.

File metadata

File hashes

Hashes for Topsis-Saksham-10200353-0.0.2.tar.gz
Algorithm Hash digest
SHA256 b45980c193b46cb432d0861a6b655cea50523343a2ee3efcc3820be71a57fe45
MD5 30ce730023875debf1a32669f1e67687
BLAKE2b-256 4c6bafabf8cd583baeeea45c362166ddb982c5a216f2538ad07a4d0c039fbc79

See more details on using hashes here.

File details

Details for the file Topsis_Saksham_10200353-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for Topsis_Saksham_10200353-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 559a19b582caf3704a4be5bad3fc0d83bd4bad3da93a84479970588b7d60fd6f
MD5 59ac2d9e5bab2f2d705d5edc571b538b
BLAKE2b-256 d4f67debe1ba253f3ecddf12c0137429cfbdf07cf09b1f4e538b5a813cba02dd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page