Topsis-Vikas-102067010 1.0.8

Calculates Topsis Score and Rank them accordingly

Topsis_Vikas

TOPSIS

Submitted By: Vikas Singh - 102067010.

Type: Package.

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

Author: Vikas Singh.

Maintainer: Vikas Singh [e-mail].

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-Vikas-102067010

In Command Prompt

>> topsis 102067010-data.csv "1,1,1,1" "+,+,-,+" 102067010-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.

| Mobile Name | Price($) | Storage(GB) | Camera(MP) | Looks | | Moto g82 | 250 | 16 | 12 | 5 | | Samsung S32 | 200 | 16 | 8 | 3 | | Oppo F17 | 300 | 32 | 16 | 4 | | Iphone 14 | 275 | 32 | 8 | 4 | | Redmi Note12 | 225 | 16 | 16 | 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)

| Mobile Name | Price($) | Storage(GB) | Camera(MP) | Looks | Topsis Score | Rank | | Moto g82 | 250 | 16 | 12 | 5 | 0.5682 | 3 | | Samsung S32 | 200 | 16 | 8 | 3 | 0.1658 | 5 | | Oppo F17 | 300 | 32 | 16 | 4 | 0.8342 | 1 | | Iphone 14 | 275 | 32 | 8 | 4 | 0.5691 | 2 | | Redmi Note12 | 225 | 16 | 16 | 2 | 0.3096 | 4 |

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