Topsis-Paridhi-102303715 1.0.2

TOPSIS implementation as a Python package

TOPSIS Python Package

Project Description

Topsis-Paridhi-102303715 is a Python package for solving Multiple Criteria Decision Making (MCDM) problems using the
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).

This package allows users to rank alternatives based on multiple criteria by providing:

• a CSV input file
• a weight vector
• an impact vector

The package computes the TOPSIS score and rank for each alternative.

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Installation

Use the package manager pip to install the package:

pip install Topsis-Paridhi-102303715

Input Parameters

1. Weights Vector A comma-separated list of numeric values representing the importance of each criterion. Example: 0.25,0.25,0.25,0.25

2. Impacts Vector A comma-separated list of impacts where:

• indicates a beneficial criterion

• indicates a non-beneficial criterion

Example: +,+,-,+

Usage:

topsis <input_file.csv> "<weights>" "<impacts>" <output_file.csv>

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

Output

The output file is a CSV file containing:

• original input columns
• Topsis Score
• Rank

Sample Output

TOPSIS RESULTS

Item	Similarity Score	Rank
A	1.000000	1
C	0.976532	2
B	0.845210	3

Higher TOPSIS score indicates a better alternative.

Input File Format:

Input file must be a CSV file:

• First column should contain alternative names
• Remaining columns must contain numeric values only
• File must contain at least 3 columns

Example sample.csv

Item	Feature1	Feature2	Feature3
A	10	7	9
B	8	6	5
C	9	9	8

Validation Rules:

The program performs the following validations:

• Input file existence check
• Minimum column count check
• Numeric value validation
• Equal number of weights, impacts, and criteria
• Impacts must be either + or -
• Weights and impacts must be comma-separated
• Appropriate error messages are displayed if invalid input is detected.

License

This project is licensed under the MIT License.