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A package Calculates Topsis Score and Rank them accordingly, for example selection of best project

Project description

Topsis-Manish-101903228

TOPSIS

Submitted By: Manish Sharma - 101903228.

Type: Package.

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

Version: 0.0.2.

Date: 26-Feb-2022.

Author: Manish Sharma.

Contact: manish1206s@gmail.com.

Submitted To :Dr. Prashant Singh Rana

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-Manish-101903228

In Command Prompt Run with the following parameters

>> topsis input_data_file.csv "1,1,1,1,1" "+,-,+,-,+" result.csv

Input file (input_data_file.csv)

The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion.

Model p1 p2 p3 p4
M1 0.11 0.2 1.85 70.89
M2 0.68 0.454 2.89 73.07
M3 0.56 0.31 1.57 2.87

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 p1 p2 p3 p4 Topsis_score Rank
M1 0.11 0.2 1.85 70.89 0.5722 3
M2 0.68 0.454 2.89 73.07 0.7722 2
M3 0.56 0.31 1.57 2.87 0.7872 1

The output file contains columns of input file along with two additional columns having (Topsis score) and (Rank)

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