Topsis-RaghavPahwa-102303608 1.0.0

A command-line implementation of TOPSIS

TOPSIS – Raghav Pahwa (102303608)

Topsis-RaghavPahwa-102303608 is a Python library for solving Multiple Criteria Decision Making (MCDM) problems using the
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).

TOPSIS is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution.

This package provides a simple command-line interface to apply TOPSIS on any CSV dataset.

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Installation

Use pip to install the package:

pip install Topsis-RaghavPahwa-102303608

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Usage

Enter the CSV filename, followed by the weights vector and impacts vector:

topsis <InputFile.csv> <Weights> <Impacts> <OutputFile.csv>

Method 1: With Quotes (Recommended)

topsis sample.csv "1,1,1,1" "+,-,+,+" result.csv

Method 2: Without Quotes

topsis sample.csv 1,1,1,1 +,-,+,+ result.csv

Note:
The second method does not allow spaces between values.
If your input contains spaces, always use double quotes (").

To view help:

topsis -h

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Example

sample.csv

Model,Storage,Camera,Price,Looks
M1,16,12,250,5
M2,16,8,200,3
M3,32,16,300,4
M4,32,8,275,4
M5,16,16,225,2

Input

topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+" output.csv

Where:

• Weights vector = [0.25, 0.25, 0.25, 0.25]
• Impacts vector = [+, +, -, +]

Output (output.csv)

   Topsis Score  Rank
1      0.534277     3
2      0.308368     5
3      0.691632     1
4      0.534737     2
5      0.401046     4

The alternative with Rank = 1 is the best choice according to TOPSIS.

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Input File Requirements

• The input file must be a CSV.
• The first column should contain alternative names.
• From the 2nd column onwards, all values must be numeric.
• The number of:
  • Weights
  • Impacts
  • Criteria columns
    must be the same.
• Impacts must be:
  • + for beneficial criteria
  • - for non-beneficial criteria
• Weights must be numeric and greater than 0.

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Algorithm

1. Normalize the decision matrix
2. Calculate the weighted normalized matrix
3. Determine ideal best and ideal worst solutions
4. Compute Euclidean distances
5. Calculate performance scores
6. Rank all alternatives

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Author

Raghav Pahwa
Roll No: 102303608
Thapar Institute of Engineering and Technology

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License

MIT License

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Keywords

TOPSIS
MCDM
Multi-Criteria Decision Making
Decision Analysis
Optimization