topsis-vansh-102303137 1.0.1

TOPSIS implementation for MCDM problems

TOPSIS Python Package

Project-1 (UCS654)

Submitted by: Vansh Garg Roll No: 102303137 Group: 3C15

Project Description:

topsis-vansh-102303137 is a Python package for solving Multiple Criteria Decision Making (MCDM) problems using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method.

This package helps in ranking alternatives based on their distance from the ideal best and ideal worst solutions.

Installation

Install the package using pip: pip install topsis-vansh-102303137

Usage

Run the package directly from the command line: topsis <input_file.csv>

Example: topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+"

Weights and impacts can also be passed without quotes: topsis sample.csv 0.25,0.25,0.25,0.25 +,+,-,+

⚠️ Important: If your input contains spaces, always enclose it in double quotes " ".

Input File Format:

1. Input file must be a CSV file
2. First column → Alternative name (identifier)
3. Remaining columns → Numeric criteria only
4. No missing or categorical values allowed

Sample CSV (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

Parameters Weights Vector Must be numeric Length = number of criteria

Example: 0.25,0.25,0.25,0.25

Impacts Vector Use + for benefit criteria Use - for cost criteria

Example: +,+,-,+

Output The program generates a CSV file with: Topsis Score → Relative closeness to ideal solution Rank → Higher score gets better rank

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

Notes Higher Topsis Score indicates a better alternative Rank 1 represents the best option Input validation is performed for:

Missing values Incorrect weights/impacts length Invalid impact symbols