Topsis-Chetanya-102303778 1.0.1

A Python package for TOPSIS decision making

Topsis-Chetanya-102303778

Project Description

For: Project-1 (UCS654 – Predictive Analytics)
Submitted by: Chetanya Roll Number: 102303778

Topsis-Chetanya-102303778 is a Python package designed to solve Multiple Criteria Decision Making (MCDM) problems using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.

The package ranks multiple alternatives based on their relative distance from the ideal best and ideal worst solutions. It is implemented as a command-line tool, making it easy to use for real-world decision-making applications.

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Installation

Install the package using pip:

pip install Topsis-Chetanya-102303778

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Usage

Run the package from the command line by providing:

• Input CSV file
• Weights vector
• Impacts vector
• Output file name

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

If vectors contain spaces, they must be enclosed within double quotes (" ").

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Input Format

• Input file must be in CSV format
• First column contains alternatives (e.g., items, models, options)
• Remaining columns contain numeric criteria values
• Minimum of three columns required
• No categorical values allowed in criteria columns

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Example

Sample Input File (data.csv)

Fund Name,P1,P2,P3,P4
M1,0.67,0.45,6.5,42.6
M2,0.60,0.36,3.6,53.3
M3,0.82,0.67,3.8,63.1
M4,0.60,0.36,3.5,69.2
M5,0.76,0.58,4.8,43.0

Command

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

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Output

The output CSV file contains:

• Original input data
• TOPSIS Score for each alternative
• Rank based on TOPSIS score
  (Higher score indicates better rank)

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Features

• Command-line based execution
• Supports user-defined weights and impacts
• Input validation and error handling
• Ranks alternatives using TOPSIS method
• Generates results in CSV format

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Notes

• Number of weights must match number of criteria
• Number of impacts must match number of criteria
• Impacts must be either + or -
• Input CSV must contain only numeric values (except first column)

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License

MIT License