Topsis-AryanSaini-102303666 1.0.0

A Python package for TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)

Topsis-AryanSaini-102303666

This package is built as a submission to Assignment 1

Submitted by: Aryan Saini (102303666)

Definition: TOPSIS, acronym for Technique for Order Preference by Similarity to Ideal Solution, is a multi-criteria decision-making (MCDM) method used to rank alternatives by selecting the option that is closest to the ideal solution and farthest from the worst (negative ideal) solution.

✅ Installation

Use the package manager pip to install Topsis-AryanSaini-102303666

pip install Topsis-AryanSaini-102303666

⚙️ Usage

topsis data.csv "1,1,1,1,1" "+,+,+,+,+" result.csv

where,

• data.csv is your input file
• Weights to be assigned to each feature
• Impacts to optimize each feature ('+': Maximize, '-': Minimize)
• Output file path to save the results

🪴Example

weights = [1,1,1,1,1] impacts = [+,+,-,+,+]

Input Dataset	TOPSIS Output
📄 data.csv Fund Name P1 P2 P3 P4 P5 M1 0.75 0.56 3.9 41.1 11.58 M2 0.73 0.53 3.4 61.1 16.44 M3 0.65 0.42 5.2 64.5 17.69 M4 0.77 0.59 3.8 40.6 11.44 M5 0.81 0.66 5.3 38.1 11.22 M6 0.81 0.66 5.5 57.3 16.07 M7 0.87 0.76 6.7 51.5 14.96 M8 0.94 0.88 5.5 67.9 18.81	📊 result.csv Fund Name P1 P2 P3 P4 P5 Topsis Score Rank M1 0.75 0.56 3.9 41.1 11.58 0.4086 7 M2 0.73 0.53 3.4 61.1 16.44 0.5806 2 M3 0.65 0.42 5.2 64.5 17.69 0.4485 5 M4 0.77 0.59 3.8 40.6 11.44 0.4303 6 M5 0.81 0.66 5.3 38.1 11.22 0.3549 8 M6 0.81 0.66 5.5 57.3 16.07 0.5226 3 M7 0.87 0.76 6.7 51.5 14.96 0.4648 4 M8 0.94 0.88 5.5 67.9 18.81 0.7283 1

🗒️ Notes

The package handles the following:

• Correct number of parameters (inputFileName, Weights, Impacts, resultFileName).
• Show the appropriate message for wrong inputs.
• Handling of “File not Found” exception
• The input file must contain three or more columns.
• From 2nd to last columns must contain numeric values only (Handling of non-numeric values)
• The number of weights, number of impacts and number of columns (from 2nd to last columns) must be the same.
• Impacts must be either +ve or -ve.
• Impacts and weights must be separated by ‘,’ (comma).

License

MIT Licence