Topsis-Samiksha-102317096 0.1.0

A Python package for TOPSIS analysis

Topsis-Samiksha-102317096

A Python package implementing TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) for multi-criteria decision analysis.

What is TOPSIS?

TOPSIS is a multi-criteria decision analysis method that identifies the best alternative based on the shortest distance from the ideal solution and the farthest distance from the negative-ideal solution.

Installation

pip install Topsis-Samiksha-102317096

Usage

Command Line

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example

topsis input.csv "1,1,1,2" "+,+,-,+" result.csv

Python Script

from topsis_samiksha_102317096 import apply_topsis, validate_input
import pandas as pd

# Your implementation here

Input File Format

• CSV file with 3 or more columns
• First column: Object/Variable names (e.g., M1, M2, M3...)
• Remaining columns: Numeric values only

Example:

Model,Price,Storage,Camera,Looks
M1,250,16,12,5
M2,200,16,8,3
M3,300,32,16,4

Parameters

• Weights: Comma-separated numbers (e.g., "1,1,1,2")
• Impacts: Comma-separated +/- signs (e.g., "+,+,-,+")
  • + : Benefit criterion (higher is better)
  • - : Cost criterion (lower is better)

Output

The result file contains all input columns plus:

• Topsis Score: Calculated score for each alternative
• Rank: Ranking based on Topsis score

Error Handling

The package handles:

• File not found errors
• Invalid number of parameters
• Non-numeric values in data columns
• Mismatched weights/impacts count
• Invalid impact values

Author

Samiksha
Roll Number: 102317096