Topsis-Arshia-102303144 1.0.0

Python package for solving MCDM problems using TOPSIS

Topsis-Arshia-102303144

Project Description

Topsis-Arshia-102303144 is a Python package for solving Multiple Criteria Decision Making (MCDM) problems using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).

TOPSIS ranks alternatives based on their distance from an ideal best and an ideal worst solution. This package provides a simple command-line interface to perform TOPSIS analysis on CSV data files.

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Course & Student Details

Course: Project-1 (UCS654)
Submitted by: Arshia Anand
Roll No: 102303144
Group: 3C15

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Installation

Install via PyPI using pip:

pip install Topsis-Arshia-102303144

Usage

Run the TOPSIS analysis using:

topsis <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Arguments

InputDataFile: CSV file containing the dataset

Weights: Comma-separated numeric weights for each criterion

Impacts: Comma-separated impacts (+ for benefit, - for cost)

OutputResultFileName: Output CSV file containing TOPSIS scores and ranks

Example

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

Sample Input File (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

Sample Output

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

Important Notes

Input file must contain at least three columns

From the 2nd column to the last column, all values must be numeric

Number of weights must equal the number of impacts

Number of weights and impacts must match the number of criteria

Impacts must be either + (benefit) or - (cost)

Weights and impacts must be separated by commas (,)

License

MIT License. See the LICENSE file for details.